This paper was converted on www.awesomepapers.org from LaTeX by an anonymous user.
Want to know more? Visit the Converter page.

Phase Boundary Segregation in Multicomponent Alloys: A Diffuse-Interface Thermodynamic Model

Sourabh B Kadambi Current address: Computational Mechanics and Materials Department, Idaho National Laboratory, Idaho Falls, Idaho 83415, USA [email protected]    Srikanth Patala [email protected] Department of Materials Science and Engineering, North Carolina State University, Raleigh, North Carolina 27695, USA  
Abstract

Microalloying elements tend to segregate to the matrix-precipitate phase boundaries to reduce the interfacial energy. The segregation mechanism is emerging as a novel design strategy for developing precipitation-hardened alloys with significantly improved coarsening resistance for high temperature applications. In this paper, we report a nanoscopic diffuse-interface thermodynamic model that describes multicomponent segregation behavior in two-phase substitutional alloys. Following classical approaches for grain boundaries, we employ the regular solution thermodynamics to establish segregation isotherms. We show that the model recovers the Guttmann multicomponent isotherm describing local interfacial concentrations, and the generalized Gibbs adsorption isotherm that governs the total solute excess and interfacial energy. A variety of multicomponent segregation behaviors are demonstrated for a model two-phase quaternary alloy. The nature of interfacial parameters and the resulting analytic solutions make the model amenable for parameterization and comparison with atomistic calculations and experimental characterizations.

Keywords

Solute Segregation, Phase Boundary, Phase-field Model, Gibbs Adsorption,
Multicomponent Thermodynamics

I Introduction

Development of structural alloys with high-temperature stability is crucial for automotive, aerospace and nuclear industries. While superior mechanical properties are conventionally realized by two-phase microstructures–via a high density of finely-sized secondary precipitates in the matrix–their properties deteriorate at elevated temperatures due to coarsening. This limits the operating temperatures of, for example, θ\theta^{\prime}-Al2Cu-strengthened Al-Cu alloys to 250~{}250^{\circ}C [1], Mg2Sn-strengthened Mg-Sn alloys to 170~{}170^{\circ}C [2] and the Al3Sc-strengthened Al-Sc alloys to 300~{}300^{\circ}C [3]. Therefore, alloy design approaches to enhance the coarsening resistance of two-phase microstructures are crucial. Ni and Co-based alloys/superalloys, which inherently possess high-temperature strength for applications in gas turbine engines, also require further improvements in thermal stability for realizing energy-efficient operation [4, 5]. More examples of thermal stability requirements can be found in emerging multi-principle-element alloys containing multiple phases [6].

Refer to caption
Figure 1: Atomc-scale details of a representative θ\theta^{\prime}-Al2Cu/matrix interface in an (Al-Cu)-Sc-Fe-Si alloy at 300C. (a) HAADF-STEM image. (b-i) EDS maps of elemental distribution demonstrating simultaneous segregation of Sc and Fe at the interface. This alloy was found to be thermodynamically and kinetically stable relative to the base Al-Cu and (Al-Cu)-Sc alloys. (Figure is reproduced with permission from [7].)

Approaches to enhance thermal stability of multiphase microstructures can be identifying from the classical theory of precipitate coarsening. The rate of coarsening primarily depends on two factors: the excess interfacial energy γ\gamma of the matrix-precipitate interphase boundary (IB); and the diffusion kinetics of elements across the microstructure [8]. Any modification to the alloy composition is likely to alter both the energetic and kinetic factors. The kinetics-based approach typically involves the addition of a slow-diffusing solute [9], which limits the diffusion controlled kinetics, but is generally effective only at low homologous temperatures. On the other hand, the thermodynamics-based approach involves the addition of solutes that cause a reduction in γ\gamma by preferentially segregating to the IB [10]. This approach can be considered to be more effective as it fundamentally alters the interfacial chemistry and energetics.

Thermodynamic segregation is classically described by the generalized Gibbs adsorption isotherm [11], which describes the variation in γ\gamma resulting from changes to the solute addition within the bulk phase. For an IB [12] in a multicomponent, two-phase alloy at equilibrium, dγ=ξΓξ(1,2)dμξd\gamma=-\sum_{\xi}\Gamma^{(1,2)}_{\xi}d\mu_{\xi} (ξ1,2\xi\neq 1,2), where μξ\mu_{\xi} is the solute chemical potential. Γξ(1,2)\Gamma^{(1,2)}_{\xi} is the relative solute excess which quantifies IB segregation of a solute ξ=3,4,\xi=3,4,\ldots with reference to the binary base components (1,2)(1,2). The isotherm reveals that a solute ξ\xi, which preferentially segregates (i.e. Γξ(1,2)>0\Gamma^{(1,2)}_{\xi}>0) to the IB, will reduce γ\gamma. Furthermore, multiple solutes can co-segregate to the IB to cause a reduction in γ\gamma. Therefore, the thermodynamic segregation mechanism offers a number of compositional degrees of freedom in multicomponent alloys to tune the energetics of IBs in binary base alloys [13].

A number of experimental studies have demonstrated the practical feasibility and potential of the IB segregation mechanism. Precipitation hardening alloys microalloyed with IB-segregating solutes have exhibited enhanced age-hardening response, coarsening resistance, creep resistance and elevated-temperature retention of mechanical properties. Methods have been developed to derive a quantitative measure of the classical IB solute excess Γξ(1,2)\Gamma^{(1,2)}_{\xi} from composition profiles obtained using atom probe tomography (APT) [14, 15, 16]. To complement experimental observations, first-principles calculations have been used to validate the occurrence of segregation and evaluate the segregation energies for various solutes to different IB types and lattice sites [17, 18]. Examples of experimentally observed solutes segregated at matrix-precipitate IBs in various alloys are: Ag, Sn, Si, Sc segregation at Al/θ\theta^{\prime}-Al2Cu IB in Al-Cu; Mg at Al/Al3Sc in Al-Sc; Zn at Mg/Mg2Sn in Mg-Sn; W at γ\gamma/γ\gamma^{\prime} IB in Ni-based superalloy; Ni and Mn at α\alpha-Fe/Cu-rich precipitate.

Engineering alloys often contain multiple minority elements–either added by design or arising as impurities from manufacturing process–wherein solutes have been found to co-segregate at the IB. In many such alloys, the combined presence of solutes is found to have an effect distinct from that of individual solutes. In (Al-Cu)-Mg-Ag, Ag and Mg co-segregate at Al-matrix/Ω\Omega-Al2Cu IB [19]: this has been found to lower γ\gamma, via formation of strong Mg-Ag chemical bond at the IB, and stabilize the precipitate. However, individual additions of Mg and Ag appears to be ineffective as thermodynamic segregants [20, 21, 22]. In (Al-Cu)-Si-Mg-Zn, Si and Mg co-segregate at Al/θ\theta^{\prime}-Al2Cu IB [23]. However, Si and Mg have a negligible effect individually. In (Al-Cu)-Mn-Zr-Si, enhanced co-segregation of Mn and Zr at Al-matrix/θ\theta^{\prime}-Al2Cu IB was recently found to increase the stability of θ\theta^{\prime} to 350~{}350^{\circ}C [24]. However, individual additions of Zr or Mn stabilized θ\theta^{\prime} to less than 300300^{\circ}C or 250250^{\circ}C, respectively. Recently, in (Al-Cu)-Sc-Fe-Si, co-segregation of Sc and Fe to Al-matrix/θ\theta^{\prime} was realized, and was found to provide an unprecedented creep resistance at 300C [7] (see Fig. 1). The choice of solutes in [7] was informed via first principles DFT calculations of segregation energies of various single and di-solutes. Another known example is the co-segregation of Re and Ru at γ\gamma/γ\gamma^{\prime} in Ni-based superalloy [25, 26]. Some of these studies also demonstrate the potential for computationally-informed, segregation-driven design of precipitation alloys.

In the aforementioned examples, distinct interatomic interactions within the bulk and the IB bonding regions are involved. While the thermodynamics of bulk phases are well understood, and that of GB phases or complexions have significantly advanced [12], thermodynamics of IB is lacking beyond the classical models [27]. The classical Gibbs adsorption isotherm in its differential form cannot be readily integrated to obtain analytic governing equations for absolute changes in IB energy Δγ\Delta\gamma as a function of measurable solute concentrations in the matrix phase. One needs to first determine the exact functional dependence of the chemical potentials μξ\mu_{\xi} and solute excesses Γξ(1,2)\Gamma^{(1,2)}_{\xi} on the solute concentration. So far, such estimations of Δγ\Delta\gamma from APT-based composition profiles and calculations of Γξ(1,2)\Gamma^{(1,2)}_{\xi} have involved limiting assumptions of ideal or dilute solution behavior [14, 15, 16]. A formal description of the distinct thermodynamic solution behavior of the IB phase, accounting for distinct atomic interactions at the IB, is of critical importance to advance our understanding of segregation thermodynamics.

In this paper, we present a diffuse-interface framework for describing multicomponent segregation thermodynamics in two-phase alloys. The paper is outlined as follows. In Sec.II, we propose the general phase-field model and then present the equilibrium solutions for a one-dimensional system with planar IB. Assuming regular solution behavior, we derive governing expressions for γ\gamma and Γξ(1,2)\Gamma^{(1,2)}_{\xi} and demonstrate their validity with the Gibbs adsorption isotherm. Detailed analytic derivations are presented in the Appendix AC. In Sec.III, we apply the model to study multicomponent segregation behavior in hypothetical quaternary alloys. Using multicomponent grain boundary segregation as a reference, we present a preliminary classification of the segregation behavior in the quaternary two-phase alloy. In Sec.V, we summarize and provide future directions for parameterization and comparison with experiments.

II Phase-field Model

II.1 Microstructure Formulation

We invoke the concept of an interfacial phase or complexion for the interphase boundary (IB). That is, a compositionally-homogeneous layer of IB phase ii is governed by a fundamental thermodynamic equation distinct from that of the adjacent matrix mm and precipitate pp phases. This description follows from the classical treatment of solute segregation to free surfaces and grain boundaries (GB) [11, 28, 29, 30, 13], and the non-classical treatment of diffuse segregation to GBs in phase-field models [31, 32, 33, 34, 35].

A non-conserved phase field ϕ(𝒙)\phi(\bm{x}) variable is used to represent the phases: mm at ϕ=0\phi=0, ii at ϕ=0.5\phi=0.5, and pp at ϕ=1\phi=1. Any infinitesimal volume around the spatial location 𝒙\bm{x} is defined as a hypothetical thermodynamic mixture of mm, ii and pp phases. The alloy is composed of the primary components 11 and 22, which act as solvents to from the two-phase system, and additional components 3,4,,𝒩3,4,\ldots,\mathcal{N} which act as solutes. The mole fractions corresponding to a phase are represented by the phase concentration variables as cθm(𝒙)c_{\theta m}(\bm{x}), cθi(𝒙)c_{\theta i}(\bm{x}) and cθp(𝒙)c_{\theta p}(\bm{x}); where, θ=1,2,3,,𝒩\theta=1,2,3,\ldots,\mathcal{N}.

We introduce interpolating functions M(ϕ)M(\phi), I(ϕ)I(\phi) and P(ϕ)P(\phi) for each of the phases mm, ii and pp. These functions serve as local phase fractions to define effective properties at 𝒙\bm{x} as a mixture of the phase properties. The effective concentrations cθ(𝒙)c_{\theta}(\bm{x}) are defined by the mixture rule as

cθ=M(ϕ)cθm+I(ϕ)cθi+P(ϕ)cθp.\displaystyle c_{\theta}=M(\phi)c_{\theta m}+I(\phi)c_{\theta i}+P(\phi)c_{\theta p}. (1)

The local effective free energy density f(𝒄,ϕ)f(\bm{c},\phi) is defined using the local phase-specific free energy densities fψ(c2ψ,c3ψ,,c𝒩ψ)f^{\psi}(c_{2\psi},c_{3\psi},\ldots,c_{\mathcal{N}\psi}) as

f(𝒄,ϕ)=M(ϕ)fm(𝒄m)+I(ϕ)fi(𝒄m)+P(ϕ)fp(𝒄p),\displaystyle f(\bm{c},\phi)=M(\phi)f^{m}(\bm{c}_{m})+I(\phi)f^{i}(\bm{c}_{m})+P(\phi)f^{p}(\bm{c}_{p}), (2)

where 𝒄={c2,c3,,c𝒩}\bm{c}=\{c_{2},c_{3},\ldots,c_{\mathcal{N}}\}. Under the assumption of substitutional solution and identical molar volumes of the components across the alloy, the effective concentrations satisfy c1(𝒙)=1θ=2:𝒩cθ(𝒙)c_{1}(\bm{x})=1-\sum_{\theta=2:\mathcal{N}}c_{\theta}(\bm{x}).

The phase concentrations cθψ(𝒙)c_{\theta\psi}(\bm{x}) at any given point are constrained by the condition of equal diffusion potential between the phases as

fmcθm=ficθi=fpcθpμθ1,\displaystyle\frac{\partial f^{m}}{\partial c_{\theta m}}=\frac{\partial f^{i}}{\partial c_{\theta i}}=\frac{\partial f^{p}}{\partial c_{\theta p}}\equiv{\mu}_{\theta 1}, (3)

where μθ1μθμ1{\mu}_{\theta 1}\equiv\mu_{\theta}-\mu_{1} (θ=2:𝒩\theta=2:\mathcal{N}) are the diffusion potentials. The above conditions follow from the KKS (Kim-Kim-Suzuki) phase-field formulation—originally developed for two-phase alloy solidification [36], later applied for GB segregation in two-grain alloy with GB phase [31, 32, 35], and recently developed for IB segregation in two-phase alloy with IB phase [37, 38, 39].

Refer to caption
Figure 2: Phase field ϕ(x)\phi({x}) of width λ\lambda representing the matrix phase mm at ϕ=0\phi=0, the interfacial phase ii at ϕ=0.5\phi=0.5, and the precipitate phase pp ϕ=1\phi=1 in a one-dimensional system. Interpolating functions or phase fractions M(ϕ)M(\phi), I(ϕ)I(\phi) and P(ϕ)P(\phi) associated with the mm, ii and pp phases, respectively.

The functional forms of the interpolating functions are chosen to satisfy the definition of exclusive phases as M(ϕ=0)=1M(\phi=0)=1, I(ϕ=0.5)=1I(\phi=0.5)=1 and P(ϕ=1)=1P(\phi=1)=1, and the phase-mixture rule M(ϕ)+P(ϕ)+I(ϕ)=1M(\phi)+P(\phi)+I(\phi)=1. For the sake of continuity in the derivatives, M(ϕ)M(\phi) and P(ϕ)P(\phi) C1[0,1]\in C^{1}[0,1] are chosen to be differentiable, piecewise functions. A convenient choice of interpolating functions constructed from the double-well form I(ϕ)=16ϕ2(1ϕ)2I(\phi)=16\phi^{2}(1-\phi)^{2} is shown in Fig. 2. Note that for ϕ[0,0.5)\phi\in[0,0.5), M(ϕ)=1I(ϕ)M(\phi)=1-I(\phi) and P(ϕ)=0P(\phi)=0; for ϕ(0.5,1]\phi\in(0.5,1], M(ϕ)=0M(\phi)=0 and P(ϕ)=1I(ϕ)P(\phi)=1-I(\phi).

Given the local microstructure and its properties thus far, the overall free energy of the domain of volume VV can be defined by the functional,

=V[f(𝒄,ϕ)+ε22|ϕ|2]dV,\displaystyle\mathcal{F}=\int_{V}\left[f(\bm{c},\phi)+\frac{\varepsilon^{2}}{2}\left|\nabla\phi\right|^{2}\right]\mathrm{d}V, (4)

where the second term in the integrand is the gradient energy density due to ϕ\phi, with ε2\varepsilon^{2} representing the gradient energy coefficient.

Following classical linear irreversible thermodynamics, the concentration fields evolve temporally under mass conservation as

cθt=[ξ=2:𝒩θξ(δδcξ)];\displaystyle\frac{\partial c_{\theta}}{\partial t}=\nabla\cdot\left[\sum_{\xi=2:\mathcal{N}}\mathcal{M}_{\theta\xi}\nabla\left(\frac{\delta\mathcal{F}}{\delta c_{\xi}}\right)\right];\hskip 14.22636pt (5)

where θ=2:𝒩\theta=2:\mathcal{N}. The variational derivatives take the simplified definition as δ/δcθ=f/cθ=μθ1\delta\mathcal{F}/\delta c_{\theta}=\partial f/\partial c_{\theta}={\mu}_{\theta 1}. \mathbf{\mathcal{M}} is the diffusion mobility matrix with components θξ=j=1:𝒩(δkξjcξ)(δjθcθ)cjj\mathcal{M}_{\theta\xi}=\sum_{j=1:\mathcal{N}}(\delta_{k\xi j}-c_{\xi})(\delta_{j\theta}-c_{\theta})c_{j}\mathcal{M}_{j}. θ\mathcal{M}_{\theta} is the atomic mobility of component θ\theta (=1:𝒩=1:\mathcal{N}); θ\mathcal{M}_{\theta} can be expressed in terms of the phase-dependent atomic mobilities as θ=M(ϕ)θm+I(ϕ)θi+P(ϕ)θp\mathcal{M}_{\theta}=M(\phi)\mathcal{M}_{\theta}^{m}+I(\phi)\mathcal{M}_{\theta}^{i}+P(\phi)\mathcal{M}_{\theta}^{p}.

Following Allen-Cahn dynamics, the non-conserved field ϕ\phi evolves temporally as

ϕt=δδϕ,\displaystyle\frac{\partial\phi}{\partial t}=-\mathcal{L}\frac{\delta\mathcal{F}}{\delta\phi}, (6)

where \mathcal{L} is the kinetic mobility parameter for the interface.

II.2 Equilibrium Planar Interface

We now consider a one-dimensional, planar IB at stationary equilibrium. The microstructure fields become invariant with time and will be denoted by ϕe(x)\phi_{e}(x) and 𝒄e(x)\bm{c}^{e}(x). Eqs. 5 and 6 reduce to

δδcθ\displaystyle\frac{\delta\mathcal{F}}{\delta c_{\theta}} =fcθeμθ1e(const.),\displaystyle=\frac{\partial f}{\partial c_{\theta}^{e}}\equiv{\mu}_{\theta 1}^{e}(\text{const.}), (7)
δδϕ\displaystyle\frac{\delta\mathcal{F}}{\delta\phi} =fϕeε2d2ϕedx2=0,\displaystyle=\frac{\partial f}{\partial\phi_{e}}-\varepsilon^{2}\frac{d^{2}\phi_{e}}{dx^{2}}=0, (8)

where μθ1e\mu_{\theta 1}^{e} are the equilibrium diffusion potentials. μθ1e\mu_{\theta 1}^{e} are constant across xx as required by the exchange of atoms between substitutional sites [40]. The conditions (Eq. 3) for the equality of diffusion potentials at a point now read

fm(x)cθm=fi(x)cθi=fp(x)cθpμθ1e(const.).\displaystyle\frac{\partial f^{m}(x)}{\partial c_{\theta m}}=\frac{\partial f^{i}(x)}{\partial c_{\theta i}}=\frac{\partial f^{p}(x)}{\partial c_{\theta p}}\equiv{\mu}_{\theta 1}^{e}(\text{const.}). (9)

The above relations imply that the phase-concentrations become spatially constant, i.e. cθψ(x)=cθψec_{\theta\psi}(x)=c_{\theta\psi}^{e}. Therefore, the effective concentration fields (Eq. 1) are given by

cθe(x)=\displaystyle c_{\theta}^{e}(x)= M(ϕe(x))cθme+I(ϕe(x))cθie\displaystyle M\left(\phi_{e}(x)\right)\,c_{\theta m}^{e}+I\left(\phi_{e}(x)\right)\,c_{\theta i}^{e}
+P(ϕe(x))cθpe.\displaystyle+P\left(\phi_{e}(x)\right)\,c_{\theta p}^{e}. (10)

Multiplying Eq. 8 with dϕe/dxd\phi_{e}/dx and integrating piecewise with respect to xx from -\infty to 0 and 0 to ++\infty yields the following equilibrium relations between mm, ii and pp (see Appendix A for derivation). Here, the limits of integration -\infty, 0, and ++\infty refer to the far-field matrix, the exclusive IB and the far-field precipitate phases, respectively.

feifem(cθiecθme)μθ1e\displaystyle f^{i}_{e}-f^{m}_{e}-\sum(c_{\theta i}^{e}-c_{\theta m}^{e}){\mu}_{\theta 1}^{e}
=feifep(cθiecθpe)μθ1eWe,\displaystyle=f^{i}_{e}-f^{p}_{e}-\sum(c_{\theta i}^{e}-c_{\theta p}^{e}){\mu}_{\theta 1}^{e}\equiv W_{e}, (11)

and

fepfem=(cθpecθme)μθ1e.\displaystyle f^{p}_{e}-f^{m}_{e}=\sum(c_{\theta p}^{e}-c_{\theta m}^{e}){\mu}_{\theta 1}^{e}. (12)

Eq. 9 and  12 constitute the well-known common tangent hyperplane condition for equilibrium between the bulk phase free energy hypersurfaces fmf^{m} and fpf^{p}. Eq. II.2 and Eq. 9 constitute the parallel tangent hyperplane conditions for the equilibrium of the IB phase fif^{i} with respect to the bulk phases. For known convex functions of fmf^{m}, fif^{i} and fpf^{p}, the above conditions uniquely determine the equilibrium phase concentrations cθψec^{e}_{\theta\psi}. WeW_{e} represents the vertical distance between the two parallel tangent hyperplanes of ii and m/pm/p. Physically, WeW_{e} describes the free energy for the formation of a unit volume of equilibrium IB phase from the equilibrium matrix phase (or equivalently from the equilibrium precipitate phase) [41].

Substituting Eqs. 2 and II.2 in Eq. 8, we obtain the expression for the stationary phase-field profile ϕe(x)\phi_{e}(x) as (see Appendix A for derivation)

ε2d2ϕedx2=WedI(ϕe)dϕe,\displaystyle\varepsilon^{2}\frac{d^{2}\phi_{e}}{dx^{2}}=W_{e}\frac{dI(\phi_{e})}{d\phi_{e}}, (13)

which can be integrated to obtain

ε2(dϕedx)2=2WeI(ϕe).\displaystyle\varepsilon^{2}\left(\frac{d\phi_{e}}{dx}\right)^{2}=2W_{e}I(\phi_{e}). (14)

The above expression depends only on the functional form of I=16ϕ2(1ϕ)2I=16\phi^{2}(1-\phi)^{2}. WeW_{e} depends on the equilibrium phase concentrations, which are constants across the microstructure. Therefore, WeW_{e} is a constant and the above expression can be readily integrated to obtain the well-known closed-form solution

ϕe(x)=12[1+tanh(22Weεx)].\displaystyle\phi_{e}(x)=\frac{1}{2}\left[1+\tanh\left(\frac{2\sqrt{2W_{e}}}{\varepsilon}x\right)\right]. (15)

The width λ\lambda of the diffuse IB (defined by the bounds ϕe=0.1\phi_{e}=0.1 and ϕe=0.9\phi_{e}=0.9) is given by

λ=0.10.9dxdϕe𝑑ϕe1.1ε2We.\displaystyle\lambda=\int_{0.1}^{0.9}\frac{dx}{d\phi_{e}}d\phi_{e}\approx\frac{1.1\varepsilon}{\sqrt{2W_{e}}}. (16)

II.3 Gibbs excess Properties

We can now obtain expressions for the classical excess quantities from the equilibrium diffuse IB. The excess IB energy per unit IB area, γ\gamma, is the excess grand potential evaluated as (see Appendix B for derivation)

γ=ll2WeI(ϕe(x))𝑑x2ε2We3,\displaystyle\gamma=\int_{-l}^{l}2W_{e}I(\phi_{e}(x))dx\approx\frac{2\varepsilon\sqrt{2W_{e}}}{3}, (17)

where ±l\pm l are locations within the bulk phases far-field of the interface. The integrand 2WeI(ϕe(x))Ω(x)2W_{e}I(\phi_{e}(x))\equiv\Omega(x) describes the energy density across the system in excess of the thermodynamic mixture of the equilibrium bulk phases. The integrand vanishes within the bulk phases since I(ϕe(±l))0I\left(\phi_{e}(\pm l)\right)\rightarrow 0, and therefore, the integral converges. This property makes γ\gamma an invariant thermodynamic quantity that is independent of the specific choice of the layer thickness [42].

The extensive solute excess quantities are evaluated by adapting Cahn’s layer approach [11] to the phase-field model (see Appendix C for derivations). The generalized Gibbs adsorption equation relating the change in γ\gamma to the independent variations of intensive quantities, temperature TT and μθe\mu^{e}_{\theta}, is obtained as [11, 13]

dγ=ΓS(1,2)dTξ=3:𝒩Γξ(1,2)dμξe,\displaystyle d\gamma=-\Gamma^{(1,2)}_{S}dT-\sum_{\xi=3:\mathcal{N}}\Gamma^{(1,2)}_{\xi}d\mu^{e}_{\xi}, (18)

where ΓS(1,2)\Gamma^{(1,2)}_{S} is the relative entropy excess and Γξ(1,2)\Gamma^{(1,2)}_{\xi} is the relative solute excess for ξ\xi, defined per unit interface area. The chemical potentials of the base components 11 and 22 have been eliminated with the aid of equilibrium conditions between the two bulk phases, and thus, Γ1/2(1,2)=0\Gamma^{(1,2)}_{1/2}=0. The excess quantity ΓS/ξ(1,2)\Gamma^{(1,2)}_{S/\xi} describes the difference in the amount of entropy/component-θ\theta between the chosen layer—containing the diffuse interface—and that of a hypothetical system. The hypothetical system is constructed from the two homogeneous bulk phases in such a proportion that the total amount of 11 and 22 is equal to that in the original layer [11, 13]. Analytic expressions for these quantities were realized from the equilibrium phase and concentration fields as

Γθ(1,2)=\displaystyle\Gamma^{(1,2)}_{\theta}= Cθxs(c1mecθpecθmec1pe)(c1mec2pec2mec1pe)C2xs\displaystyle C^{xs}_{\theta}-\frac{(c^{e}_{1m}c^{e}_{\theta p}-c^{e}_{\theta m}c^{e}_{1p})}{(c^{e}_{1m}c^{e}_{2p}-c^{e}_{2m}c^{e}_{1p})}C^{xs}_{2}
(cθmec2pec2mecθpe)(c1mec2pec2mec1pe)C1xs\displaystyle-\frac{(c^{e}_{\theta m}c^{e}_{2p}-c^{e}_{2m}c^{e}_{\theta p})}{(c^{e}_{1m}c^{e}_{2p}-c^{e}_{2m}c^{e}_{1p})}C^{xs}_{1}\hskip 8.5359pt (19)

where θ=1:𝒩\theta=1:\mathcal{N}, c1ψe=1k=2:𝒩ckψec^{e}_{1\psi}=1-\sum_{k=2:\mathcal{N}}c^{e}_{k\psi}, and

Cξxs=ε32We(2cθiecθmecθpe).\displaystyle C^{xs}_{\xi}=\frac{\varepsilon}{3\sqrt{2W_{e}}}\left(2c^{e}_{\theta i}-c^{e}_{\theta m}-c^{e}_{\theta p}\right). (20)

CξxsC^{xs}_{\xi} is the Gibbs solute excess evaluated from the effective concentration fields using the Gibbs dividing surface at x=0x=0. Since the equilibrium concentrations are generally unequal in the two bulk phases, CξxsC^{xs}_{\xi} depends on the specific location of the dividing surface within the diffuse IB. Note that Γξ(1,2)\Gamma^{(1,2)}_{\xi} is independent of the position of the dividing surface, and is an invariant thermodynamic quantity like γ\gamma. A similar expression is obtained for the ΓS(1,2)\Gamma^{(1,2)}_{S} (Eq. C).

The Gibbs adsorption isotherm can be written in terms of the derivatives of the matrix-phase concentrations cθmec^{e}_{\theta m} as

γcξme=θ=3𝒩Γθ(1,2)μθecξme;(ξ=3:𝒩),\displaystyle\frac{\partial\gamma}{\partial c^{e}_{\xi m}}=-\sum_{\theta=3}^{\mathcal{N}}\Gamma^{(1,2)}_{\theta}\frac{\partial\mu^{e}_{\theta}}{\partial c^{e}_{\xi m}};\hskip 28.45274pt(\xi=3:\mathcal{N}), (21)

where μθe=fem+k=2:𝒩(δθkckme)μk1e\mu^{e}_{\theta}=f^{m}_{e}+\sum_{k=2:\mathcal{N}}\left(\delta_{\theta k}-c^{e}_{km}\right)\mu^{e}_{k1} (δθk\delta_{\theta k} is the Kronecker delta) [43].

II.4 Multicomponent Thermodynamics

We assume regular solution behavior for the bulk and IB phases. The free energy density-composition dependence characteristic to ψ\psi is given by

fψ=\displaystyle f^{\psi}= θ=1𝒩Gθψcθψ+θ=1𝒩ξθLθξψcθψcξψ\displaystyle\,\hskip 2.84544pt\sum_{\theta=1}^{\mathcal{N}}G_{\theta}^{\psi}c_{\theta\psi}+\sum_{\theta=1}^{\mathcal{N}}\sum_{\xi\neq\theta}L^{\psi}_{\theta\xi}c_{\theta\psi}c_{\xi\psi}
+RTvm(θ=1𝒩cθψlncθψ).\displaystyle+\frac{RT}{v_{m}}\left(\sum_{\theta=1}^{\mathcal{N}}c_{\theta\psi}\ln{c_{\theta\psi}}\right). (22)

Here, the energetics of θ\theta in all the phases ψ\psi are defined from the same pure component reference state {πθ}\{\pi\theta\} [44]. The reference states can have crystal structures distinct from that of the solid-solution ψ\psi. Gθψ{πθ}G^{\psi}_{\theta}\{\pi\theta\} accounts for the pure component energy of θ\theta in ψ\psi with reference to πθ{\pi\theta}. For mixing (second term), the structure of each component must be identical to that of the final solid-solution ψ\psi. Lθξψ{ψθ,ψξ}L^{\psi}_{\theta\xi}\{\psi\theta,\psi\xi\} accounts for the non-ideal interaction energy between distinct components θ\theta and ξ\xi in ψ\psi, with reference to the pure components in ψ\psi. Therefore, the parameters GθψG^{\psi}_{\theta} and LθξψL^{\psi}_{\theta\xi} account for the distinct chemical and structural energetics of the bulk and interfacial phases. The final term in the equation is the ideal configurational entropy for mixing and vmv_{m} is the molar volume.

Using Eq. II.4, the equilibrium compositions in the bulk phases are established by Eqs. 9 and  12. These constitute 𝒩\mathcal{N} equations in 2(𝒩1)2\left(\mathcal{N}-1\right) bulk-phase concentrations and allow 𝒩2\mathcal{N}-2 compositional degrees of freedom. We choose the matrix-phase solute concentrations c3me,,c𝒩mec^{e}_{3m},\ldots,c^{e}_{\mathcal{N}m} as the control variables, while the rest are to be uniquely determined.

The equilibrium composition in the IB phase ψ=i\psi=i is then established using Eq. II.4 in fi/cθie=fm/cθme\partial f^{i}/\partial c^{e}_{\theta i}=\partial f^{m}/\partial c^{e}_{\theta m} of Eq. 9. These constitute 𝒩1\mathcal{N}-1 segregation equations relating 𝒩1\mathcal{N}-1 unknowns (c2ie,,c𝒩ie)(c^{e}_{2i},\ldots,c^{e}_{\mathcal{N}i}) to the known (c2me,,c𝒩me)(c^{e}_{2m},\ldots,c^{e}_{\mathcal{N}m}). They can be written as

cθiec1ie=cθmec1meexp(ΔEsegθ1RT/vm);(θ=2:𝒩),\displaystyle\frac{c^{e}_{\theta i}}{c^{e}_{1i}}=\frac{c^{e}_{\theta m}}{c^{e}_{1m}}\exp\left(\frac{\Delta E^{\theta 1}_{\text{seg}}}{RT/v_{m}}\right);\hskip 8.5359pt(\theta=2:\mathcal{N}), (23)

where

Δ\displaystyle\Delta Esegθ1=(G1iG1mGθi+Gθm)\displaystyle E^{\theta 1}_{\text{seg}}=(G^{i}_{1}-G^{m}_{1}-G^{i}_{\theta}+G^{m}_{\theta}) (24)
+[L1θmL1θi+2(L1θicθieL1θmcθme)]\displaystyle+\left[L^{m}_{1\theta}-L^{i}_{1\theta}+2(L^{i}_{1\theta}c^{e}_{\theta i}-L^{m}_{1\theta}c^{e}_{\theta m})\right]
+ξθ[(L1ξi+L1θiLξθi)cξie(L1ξm+L1θmLξθm)cξme].\displaystyle+\sum_{\xi\neq\theta}\left[(L^{i}_{1\xi}+L^{i}_{1\theta}-L^{i}_{\xi\theta})c^{e}_{\xi i}-(L^{m}_{1\xi}+L^{m}_{1\theta}-L^{m}_{\xi\theta})c^{e}_{\xi m}\right].

ΔEsegθ1\Delta E^{\theta 1}_{\text{seg}} describes the segregation energy resulting form the exchange of θ\theta in mm with component 11 in ii. The above coupled and non-linear equations must be solved simultaneously to determine the equilibrium IB phase composition.

The segregation equations obtained in our model are equivalent to the generalized multicomponent grain boundary segregation isotherms of Guttmann [45]. For an ideal alloy (L=0L=0), the equations reduce to the decoupled multicomponent versions of Langmuir-McLean [28, 46]. For a non-ideal (L0L\neq 0) alloy, the second term in Eq. 24 is identical to that of the Fowler-Guggenheim isotherm [47, 46] representing the interaction between θ\theta and 11. The third and following terms are the cross terms relating segregation of θ\theta with segregation of ξ\xi. For IB segregation, these interactions become important for a quaternary (or higher-order) alloy as shown in the next section.

III Parametric Study

III.1 Non-dimensionalization

In this section, we apply the phase-field model to explore segregation behavior in quaternary alloys. The model is non-dimensionalized by setting x=lox~x=l_{o}\tilde{x}, t=tot~t=t_{o}\tilde{t}, T=ToT~T=T_{o}\tilde{T} and fψ=(RTo/vm)f~ψf^{\psi}=\left(RT_{o}/v_{m}\right)\tilde{f}^{\psi} (ψ=m,i,p\psi=m,i,p). lol_{o}, tot_{o} and ToT_{o} are the characteristic length, time and temperature, respectively, and RTo/vmRT_{o}/v_{m} is the characteristic energy. The dimensionless quantities are denoted by the tilde symbol. The free energy density for a quaternary alloy now takes the form, f~ψ=G~1ψc1ψ+G~2ψc2ψ+G~3ψc3ψ+G~4ψc4ψ+L~12ψc1ψc2ψ+L~13ψc1ψc3ψ+L~23ψc2ψc3ψ+L~14ψc1ψc4ψ+L~24ψc2ψc4ψ+L~34ψc3ψc4ψ+T~(c1ψlnc1ψ+c2ψlnc2ψ+c3ψlnc3ψ+c4ψlnc4ψ)\tilde{f}^{\psi}=\tilde{G}^{\psi}_{1}c_{1\psi}+\tilde{G}^{\psi}_{2}c_{2\psi}+\tilde{G}^{\psi}_{3}c_{3\psi}+\tilde{G}^{\psi}_{4}c_{4\psi}+\tilde{L}^{\psi}_{12}c_{1\psi}c_{2\psi}+\tilde{L}^{\psi}_{13}c_{1\psi}c_{3\psi}+\tilde{L}^{\psi}_{23}c_{2\psi}c_{3\psi}+\tilde{L}^{\psi}_{14}c_{1\psi}c_{4\psi}+\tilde{L}^{\psi}_{24}c_{2\psi}c_{4\psi}+\tilde{L}^{\psi}_{34}c_{3\psi}c_{4\psi}+\tilde{T}\left(c_{1\psi}\ln{c_{1\psi}}+c_{2\psi}\ln{c_{2\psi}}+c_{3\psi}\ln{c_{3\psi}}+c_{4\psi}\ln{c_{4\psi}}\right). The equilibrium equations in Sec. II.1 are replaced with the dimensionless parameters: ε~2=ε2/[lo2(RTo/vm)]\tilde{\varepsilon}^{2}=\varepsilon^{2}/\left[l_{o}^{2}\left(RT_{o}/v_{m}\right)\right] and μ~e=μe/(RTo/vm)\tilde{\mu}^{e}=\mu^{e}/\left(RT_{o}/v_{m}\right).

For the parametric study of the model, we assume (ε~2,T~)=(1,1)(\tilde{\varepsilon}^{2},\tilde{T})=(1,1). The dimensionless results can be dimensionalized as γ=(RTolo/vm)γ~\gamma=\left(RT_{o}l_{o}/v_{m}\right)\tilde{\gamma} and Γξ(1,2)=(lo/vm)Γ~ξ(1,2)\Gamma_{\xi}^{(1,2)}=(l_{o}/v_{m})\tilde{\Gamma}_{\xi}^{(1,2)}. For example, setting the characteristic scales to be lo=1l_{o}=1 nm, To=300T_{o}=300 K and vm=7×106v_{m}=7\times 10^{-6} m3/mol yields γ=0.36γ~\gamma=0.36\tilde{\gamma} J/m2 and Γξ(1,2)=(1.43×104)Γ~ξ(1,2)\Gamma_{\xi}^{(1,2)}=\left(1.43\times 10^{-4}\right)\tilde{\Gamma}_{\xi}^{(1,2)} mol/m2.

Table 1: Default ideal solution parameters of the binary and ternary two-phase alloys.
[Uncaptioned image]

III.2 Binary and Ternary References

We choose an ideal binary base alloy (11-22) that forms a two-phase coexistence region in the bulk phase diagram (see Table 1 and Ref. [37]). The alloy microstructure and the equilibrium concentration profiles are shown in Fig. 3 and represented by the schematic with the label B. The matrix phase mm is rich in 11 (c2me0.27c^{e}_{2m}\approx 0.27) while the precipitate phase pp is rich in 22 (c2pe0.73c^{e}_{2p}\approx 0.73). The IB phase ii has been chosen to have an equilibrium concentration as the average of mm and pp phases (c2me0.5c^{e}_{2m}\approx 0.5). The phase-field calculations yield a relative excess entropy of Γ~S(1,2)=0\tilde{\Gamma}^{(1,2)}_{S}=0 and an excess IB energy of γ~B=1.2\tilde{\gamma}_{B}=1.2 units.

Next we consider the addition of solutes 33 and 44 individually to form the ternaries (11-22)-ξ\xi (ξ=3/4\xi=3/4). Two types of solute behaviors are considered as references–ternary non-segregating (TN) and ternary segregating (TS). The alloy microstructures of TN and TS are shown via representative schematics and equilibrium concentration profiles in Fig. 3. TN alloys are realized for LθξiL^{i}_{\theta\xi} = Lθξm/pL^{m/p}_{\theta\xi} (θ=1,2\theta=1,2), i.e. when the regular solution interactions are identical or ideal across all phases in the alloy. For these cases, G~θi1.62\tilde{G}^{i}_{\theta}\approx 1.62 units was derived from Eq. 23 such that cξie=cξm/pec^{e}_{\xi i}=c^{e}_{\xi{m/p}} is satisfied. Calculations of excess quantities yields Γ~ξ(1,2)=0\tilde{\Gamma}^{(1,2)}_{\xi}=0 and γ~=γ~B\tilde{\gamma}=\tilde{\gamma}_{B}. TS alloys, on the other hand, are realized for Lθξi<Lθξm/pL^{i}_{\theta\xi}<L^{m/p}_{\theta\xi}, i.e. when the solute ξ\xi interacts more favorably with θ\theta in ii. These can further be noted for the ternary parameters LθξiL^{i}_{\theta\xi} and Lθξm/pL^{m/p}_{\theta\xi} listed in Table 2. Calculation of excess quantities yield a positive segregation Γ~ξ(1,2)>0\tilde{\Gamma}^{(1,2)}_{\xi}>0 and a reduced IB energy γ~<γ~B\tilde{\gamma}<\tilde{\gamma}_{\text{B}}. For simplicity, we omit segregation cases arising from variations in the pure energies G~ξψ\tilde{G}^{\psi}_{\xi}. We also simplify the parameter space by considering that the solutes interact identically within the bulk phases mm and pp, and with solvent component 11 and 22. This condition is captured in Table 2 by Lθ3m/pL^{m/p}_{\theta 3} and Lθ4m/pL^{m/p}_{\theta 4}, and lead to vanishing cross terms between the solute and solvent in Eq. 24, L~12ψ+L~1ξψL~2ξψ=0\tilde{L}^{\psi}_{12}+\tilde{L}^{\psi}_{1\xi}-\tilde{L}^{\psi}_{2\xi}=0.

For the sake of completeness, we note here that the variation of excess quantities for the ternaries can be read from the limits cξme0c^{e}_{\xi m}\rightarrow 0 of Γ~ξ(1,2)\tilde{\Gamma}^{(1,2)}_{\xi} and γ~\tilde{\gamma} contour plots presented for quaternary alloys in Fig. 7. As the matrix-phase concentration cξmec^{e}_{\xi m} is increased, TN alloys (in I–III) exhibit constant values of Γ~ξ(1,2)=0\tilde{\Gamma}^{(1,2)}_{\xi}=0 and γ~=γ~B\tilde{\gamma}=\tilde{\gamma}_{\text{B}}. TS alloys (in V–VIII) exhibit a positive and increasing Γ~ξ(1,2)\tilde{\Gamma}^{(1,2)}_{\xi}, with a correspondingly decreasing γ~\tilde{\gamma} from that of γ~B\tilde{\gamma}_{\text{B}}. The model parameters used for the reference alloys here were inspired by our earlier works on phase boundary segregation in binary [37] and ternary [38] systems. Kadambi et al. [38] rigorously demonstrated the validity of the current phase-field approach with the Gibbs adsorption isotherm dγ~=Γ~ξ(1,2)dμξed\tilde{\gamma}=-\tilde{\Gamma}^{(1,2)}_{\xi}d\mu^{e}_{\xi}.

Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Figure 3: Top: Representative schematics of elemental distribution in the two bulk phases and interfacial phase modeled as a random substitutional alloy. Bottom: Equilibrium concentration profiles across a one-dimensional, planar two-phase interface obtained from the phase-field model parameterized using Table 1. (B) Binary (11-22) alloy. (TN) Ternary (11-22)-33 alloy with a non-segregating solute. (TS) Ternary (11-22)-33 alloy with a segregating solute. Color legend: grey is atom 11, blue is 22, red is 33, green is 44.
Table 2: Parametric cases for various solute segregation behaviors: regular solution parameters LL for solutes 33 and 44 characteristic to the bulk (m/pm/p) and interfacial (ii) phases (θ=1,2\theta=1,2).
[Uncaptioned image]

III.3 Segregation in the Quaternary Alloy

In the case studies presented below, we examine the effect of combined solute addition in the quaternary (11-22)-33-44 alloy. The interaction between solutes governed by L~34m/p\tilde{L}^{m/p}_{34} and L~34i\tilde{L}^{i}_{34} forms the basis for understanding the segregation behavior in (11-22)-33-44 relative to (11-22)-33 (TN or TS) and (11-22)-44 (TN or TS). The different cases examined here are labeled I through IX in Table 2.

I Non-segregating

In case I, both the solutes are of non-segregating type in the ternaries (TN+TN). In the quaternary, they are mutually ideal/non-interacting in all the phases L~34i/m/p=0\tilde{L}^{i/m/p}_{34}=0 (Table 2). The concentration profiles (Fig. 5 I) demonstrate the non-segregating nature of 33 and 44 in the quaternary. The quantitative excess contour plots (Fig. 7 I) show a non-altered zero solute excess and IB energy energy, identical to the binary and ternary reference alloys. Alternatively, the solutes can possess a non-ideal interaction that is uniform across the interface and bulk, L~34i=L~34m/p\tilde{L}^{i}_{34}=\tilde{L}^{m/p}_{34}. Even in these scenarios, the solutes are non-segregating in the quaternary and the excess quantities are not altered over the binaries and ternaries. Overall, the individual solutes do not possess the tendency to segregate even on combined addition due to ideal or non-preferential mutual interaction across the alloy.

II Synergistic Co-segregation

In case II, both the solutes are non-segregating in the ternaries (TN+TN). However, they possess an attractive interaction in ii that is stronger than in m/pm/p, i.e. L~34i<L~34m/p\tilde{L}^{i}_{34}<\tilde{L}^{m/p}_{34}. The concentration profiles (Fig. 5 II) for the quaternary at c3me=c4me=0.1c^{e}_{3m}=c^{e}_{4m}=0.1 demonstrate segregation of 33 and 44 at the diffuse IB. The quantitative excess contour plots (Fig. 7 II) show a positive and increasing solute excess on combined solute addition, Γ~3/4(1,2)(c3me,c4me)>0\tilde{\Gamma}^{(1,2)}_{3/4}(c^{e}_{3m},c^{e}_{4m})>0. Correspondingly, the IB energy plot shows a decreasing contour γ~<γ~B\tilde{\gamma}<\tilde{\gamma}_{\text{B}}, with a steep decrease at relative large and equal matrix-phase solute concentrations, c3mec^{e}_{3m} and c4mec^{e}_{4m}. The plot also shows that reduction of IB energy to very small magnitudes γ~0\tilde{\gamma}\rightarrow 0 is possible. Overall, individual non-segregating solutes can strongly co-segregate on combined addition due to a favorable mutual interaction at the IB.

III Repulsive (Co-)Segregation

In case III, the solutes are non-segregating in their ternaries (TN+TN), with 33 having a more favorable attractive interaction with the binary base alloy compared to 44, i.e. L~θ3m/p<L~θ4m/p\tilde{L}^{m/p}_{\theta 3}<\tilde{L}^{m/p}_{\theta 4}. Additionally, the solutes have a repulsive mutual interaction in the bulk phases, relative to the IB, L~34m/p>0\tilde{L}^{m/p}_{34}>0 and L~34m/p>L~34i\tilde{L}^{m/p}_{34}>\tilde{L}^{i}_{34}. The concentration profiles (Fig. 5 III) for the quaternary at c3me=c4me=0.2c^{e}_{3m}=c^{e}_{4m}=0.2 demonstrates segregation of 44 at the diffuse IB, in preference to 33. The quantitative excess contour plots (Fig. 7 III) show regions of positive solute excess on combined solute addition, with Γ~4(1,2)>Γ~3(1,2)\tilde{\Gamma}^{(1,2)}_{4}>\tilde{\Gamma}^{(1,2)}_{3} in general. The Γ~ξ(1,2)\tilde{\Gamma}^{(1,2)}_{\xi} contour is asymmetric with respect to (c3me,c4me)(c^{e}_{3m},c^{e}_{4m}) indicating that a lower cξmec^{e}_{\xi m} is needed to induce segregation of the other solute. In the presence of unequal solute concentrations, e.g. (c3me,c4me)=(0.2,0.05)(c^{e}_{3m},c^{e}_{4m})=(0.2,0.05) or (0.05,0.2)(0.05,0.2), the minority solute in the matrix-phase segregates at the IB. The IB energy plot shows a decreasing contour, γ~<γ~B\tilde{\gamma}<\tilde{\gamma}_{\text{B}}. All the excess quantities for the considered scenario of L~34i=0\tilde{L}^{i}_{34}=0 show only a minor variation compared to that of case II; however, for case III scenarios with L~34i<0\tilde{L}^{i}_{34}<0, larger variation can be expected. Overall, individually non-segregating solutes can exhibit segregation on combined addition due to mutual repulsion from the bulk.

IV Induced Co-segregation

Case IV is very similar to case II, with the solutes in the quaternary possessing a mutually attractive interaction in ii over m/pm/p, i.e. L~34i<L~34m/p\tilde{L}^{i}_{34}<\tilde{L}^{m/p}_{34}. However, in contrast to case II, solute 33 is a segregating solute in the ternary, whereas solute 44 is non-segregating (TS+TN). The concentration profiles (Fig. 5 IV) for c3me=c4me=0.1c^{e}_{3m}=c^{e}_{4m}=0.1 demonstrate a greater segregation of 33 compared to 44. The excess plots (Fig. 7 IV) show contours very similar to those of case II. However, due to 33 being of TS type, Γ~3(1,2)\tilde{\Gamma}^{(1,2)}_{3} demonstrates a positive segregation with c3mec^{e}_{3m} along the ternary axis c4me0c^{e}_{4m}\rightarrow 0. Correspondingly, γ~\tilde{\gamma} demonstrates an asymmetric variation with the two solutes. In summary, an individually non-segregating solute can be induced to co-segregate in the presence of a segregating solute due to favorable mutual interaction at the IB,.

V Ideal Co-segregation

In case V, both the solutes are segregating in the ternaries (TS+TS), with L~θξi<L~θξm/p\tilde{L}^{i}_{\theta\xi}<\tilde{L}^{m/p}_{\theta\xi}. In the quaternary, they are mutually ideal/non-interacting in all the phases L~34i/m/p=0\tilde{L}^{i/m/p}_{34}=0. (Alternatively, they may posses a non-deal interaction that is uniform across the phases, L~34i=L~34m/p<0\tilde{L}^{i}_{34}=\tilde{L}^{m/p}_{34}<0). The concentration profiles (Fig. 5V) for the quaternary at c3me=c4me=0.1c^{e}_{3m}=c^{e}_{4m}=0.1 demonstrate co-segregation. We chose both the solutes to be identically segregating in the ternaries (case VII considers solutes that are non-identically segregating). The quantitative excess contour plots (Fig. 7 V) show regions of positive solute excess near the ternaries. The IB energy-composition map shows a planar contour with γ~\tilde{\gamma} decreasing from γ~B\tilde{\gamma}_{\text{B}}. The iso-γ~\tilde{\gamma} lines demonstrate a rule-of-mixtures behavior of quaternaries with reference to the ternaries. This behavior is represented by the red interconnected dot-star-dot marker in Fig. 7 V. Accordingly, the consolidated concentration profiles of the quaternary (c3me+c4mec^{e}_{3m}+c^{e}_{4m}) was found to be identical to that of the ternary profiles evaluated at the same total amount of solute, i.e. cξme=0.2c^{e}_{\xi m}=0.2. The reduced segregation observed at larger concentrations in both the ternaries and the quaternary is due to the contribution of entropy becoming significant to the overall free energy, relative to the contribution of enthalpy (Eq. II.4).

[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]

 

Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Figure 5: Elemental distribution across the two-phase interface in quaternary alloys for parametric cases I-IX listed in Table 2. Top figure in each case: representative schematic of the two bulk phases and the interface layer. Bottom figure in each case: equilibrium concentration profile across a 1D, planar interface obtained from the phase-field model parameterized using Table 2. Color legend: grey is atom 11, blue is 22, red is 33, green is 44.

VI Enhanced Co-segregation

Case VI is similar to cases II and IV, with the solutes having a mutually attractive interaction in ii over m/pm/p. However, both the solutes are segregating in their respective ternaries (TS+TS), as opposed to (TN+TN) or (TN+TS). The concentration profiles (Fig. 5 IV) for c3me=c4me=0.1c^{e}_{3m}=c^{e}_{4m}=0.1 demonstrate a greater segregation of the solutes compared to that in the ternaries. The quantitative excess contour plots exhibit contours very similar to cases II and IV. Symmetric contours with respect to solute are observed due to the simplified choice of identically strong segregation of 33 and 44. Overall, individually segregating solutes exhibit enhanced segregation in the quaternary due to the more favorable mutual interaction at the IB.

VII Site Competition/Induced Desegregation

Case VII involves segregating solutes in the ternaries (TS+TS) with 33 being a stronger segregating species compared to 44. As in case V, they are chosen to be mutually non-interacting or uniformly interacting in the quaternary. In the concentration profiles (Fig. 5 VII) obtained for c3me=c4me=0.1c^{e}_{3m}=c^{e}_{4m}=0.1, solute 33 is enriched at the diffuse IB, while 44 is depleted. The quantitative excess contour plots (Fig. 7 VII) show large compositional regions of Γ~3(1,2)>0\tilde{\Gamma}^{(1,2)}_{3}>0 and Γ~4(1,2)0\tilde{\Gamma}^{(1,2)}_{4}\leq 0. Starting from the ternary and moving towards the quaternary (red arrow in the figure), solute 44 desegregates readily even on small addition of solute 33. The IB energy map shows a greater reduction in γ~\tilde{\gamma} with addition of 33 than with 44. Contrary to cases V and VI, equal additions of 33 and 44 is ineffective in reducing γ~\tilde{\gamma}. In summary, a strongly segregating solute is favored to preferentially occupy IB sites over a weakly segregating solute, inducing desegregation of the later in the quaternaries.

VIII Synergistic Desegregation

In case VIII, both the solutes are identically segregating in the ternaries (TS+TS). However, they have a repulsive mutual interaction at the IB (L~34i>0\tilde{L}^{i}_{34}>0) in the quaternary. In addition, they have an attractive interaction in the bulk (L~34i<0\tilde{L}^{i}_{34}<0). The concentration profiles (Fig. 5 VIII) evaluated at c3me=c4me=0.1c^{e}_{3m}=c^{e}_{4m}=0.1 show negligible segregation of the the solutes at the diffuse IB. The quantitative excess contour plots (Fig. 7 VIII) exhibit a transition from Γ~ξ(1,2)>0\tilde{\Gamma}^{(1,2)}_{\xi}>0 to Γ~ξ(1,2)<0\tilde{\Gamma}^{(1,2)}_{\xi}<0 on adding the quartary solute (33 or 44) to the ternary alloy with ξ=4\xi=4 or 33. The IB energy map demonstrates a saddle point (marked by the red star) on combined solute addition c3me=c4me=0.1c^{e}_{3m}=c^{e}_{4m}=0.1. Beyond the saddle point, combined solute addition leads to an increase γ~\tilde{\gamma}. A minimum in γ~\tilde{\gamma} is preferred only along the ternary compositions. If non-identically segregating solutes are chosen for the case study, we would observe the saddle point in γ~\tilde{\gamma} to shift closer to the weakly segregating ternary. Moreover, the segregation region Γ~ξ(1,2)>0\tilde{\Gamma}^{(1,2)}_{\xi}>0 of the strongly segregating solute would be enhanced, while that of the weakly segregating solute would be diminished, thus altering the relative solute concentration at which transition to desegregation is observed. In summary, case VIII demonstrates a synergistic desegregation of both the segregating solutes due to mutually repulsive interaction between the solutes at the IB.

IX No Cross Effect on Segregation

In case IX, the solutes can either be segregating or non-segregating in the ternaries (TS/TN+TS/TN). Segregating solutes are chosen for the purpose of illustration. In all the previous cases, the coupling between solutes 33 and 44 in the quaternaries gave rise to concentration profiles that are distinct from the corresponding ternaries at a given cξmec^{e}_{\xi m}. Even for the ideal or non-interacting case V (Fig. 5 V) with L~34m/p/i=0\tilde{L}^{m/p/i}_{34}=0, the amount of solute 33 at the IB was altered from that in its ternary (Fig. 3 TS), for c3me=0.1c^{e}_{3m}=0.1. This coupling arises from the contribution of cross terms L~34ψL~θ3ψL~θ4ψ\tilde{L}^{\psi}_{34}-\tilde{L}^{\psi}_{\theta 3}-\tilde{L}^{\psi}_{\theta 4} (θ=1,2\theta=1,2) to the segregation isotherm (Eq. 23) [30]. For solutes that are non-interacting—mutually and with the base components 11 and 22—the aforementioned terms vanish. Moreover, even for mutually interacting solutes, we can find combinations of interaction parameters that lead to L~34ψL~θ3ψL~θ4ψ=0\tilde{L}^{\psi}_{34}-\tilde{L}^{\psi}_{\theta 3}-\tilde{L}^{\psi}_{\theta 4}=0 (as in IX of Table 2). The resulting solute concentration profiles are identical to that in their corresponding ternaries for a given cξmec^{e}_{\xi m}.

[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]
[Uncaptioned image]

 

Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Refer to caption
Figure 7: Contour plots of relative solute excess Γ~ξ(1,2)\tilde{\Gamma}^{(1,2)}_{\xi} (ξ=3,4\xi=3,4) and excess boundary energy γ~\tilde{\gamma} for the various parametric cases I-VIII (Table 2). The contours are plotted against variation in the matrix solute concentrations c3mec^{e}_{3m} and c4mec^{e}_{4m}. The red arrows in Γ~ξ(1,2)\tilde{\Gamma}^{(1,2)}_{\xi}-contour plots suggest a way to read the segregation behavior moving from a ternary to quaternary alloy. The interconnected dot-star-dot marker in γ~\tilde{\gamma}-plot suggests a way to read the effect of the quaternary composition (star) relative to the end-ternaries (dots).

IV Discussion

IV.1 Interfacial Energy

We can understand the interfacial properties of the diffuse-interface formulation (Sec. II) by first considering the interface to be a GB in a two-component, single-phase alloy. ϕ(x)\phi(x) now denotes the variation in crystallographic orientation across the diffuse GB. The bulk-phase free energies, phase concentrations and local phase fractions take the following simplified forms: fpfmf^{p}\equiv f^{m}, cθpcθmc_{\theta p}\equiv c_{\theta m} and P(ϕ)M(ϕ)=1I(ϕ)P(\phi)\equiv M(\phi)=1-I(\phi) for ϕ[0,1]\phi\in[0,1]. Therefore, the local free energy density (Eq. 2) becomes f(c2,ϕ)=fm(c2m)[1I(ϕ)]+fi(c2i)I(ϕ)f(c_{2},\phi)=f^{m}(c_{2m})[1-I(\phi)]+f^{i}(c_{2i})I(\phi). This reduced model is equivalent in most aspects to existing phase-field formulations [31, 33, 35] for GB segregation. Invoking the regular solution behavior, and imposing the limit of pure component 11, we get f(ϕ)=G1m+(G1iG1m)I(ϕ)f(\phi)=G^{m}_{1}+(G^{i}_{1}-G^{m}_{1})I(\phi). The term (G1iG1m)I(ϕ)(G^{i}_{1}-G^{m}_{1})I(\phi) is analogous to the classical, symmetric double-well potential WϕI(ϕ)W_{\phi}I(\phi) used in standard phase-field models for grain growth, alloy solidification and antiphase boundary motion [48]. Since the pure component energies G1ψ{π1}G^{\psi}_{1}\{\pi 1\} are defined from the same pure component reference state π1\pi 1 (Sec. II.4), G1iG1m>0G^{i}_{1}-G^{m}_{1}>0 accounts for the excess structural energy of the GB phase over that of the matrix. The GB energy γ\gamma of this pure metal is given by γ10.943εG1iG1m\gamma_{1}\approx 0.943\varepsilon\sqrt{G^{i}_{1}-G^{m}_{1}} (Eq. 17). However, for a multicomponent alloy, the equilibrium between the GB phase and the bulk matrix phase is established by the parallel tangent construction, which determines the equilibrium GB phase concentrations cie\textbf{c}^{e}_{i} and parallel tangent distance We(cie,cme)W_{e}(\textbf{c}^{e}_{i},\textbf{c}^{e}_{m}). WeW_{e} then represents the free energy for formation of a unit volume of the equilibrium GB phase from the equilibrium bulk phase, and therefore, captures not only the the structural energetics but also the compositional dependence [41]. Therefore, the GB energy for a multicomponent alloy can be obtained (from Eqs. 12 and 17) by setting pmp\equiv m, giving γ0.943εWe(cie,cme)\gamma\approx 0.943\varepsilon\sqrt{W_{e}(\textbf{c}^{e}_{i},\textbf{c}^{e}_{m})}.

Now consider the interface to be the IB in a two-phase alloy, i.e. pmp\not\equiv m. The local free energy density f(ce,ϕe)f(\textbf{c}^{e},\phi_{e}) (Eq. 2) will take the form of an asymmetric double-well potential as shown below. Reducing the system to the theoretical limit of a pure component 11, we get f(ϕ)=G1m+(G1iG1m)I(ϕ)f(\phi)=G^{m}_{1}+(G^{i}_{1}-G^{m}_{1})I(\phi) for ϕ0.5\phi\leq 0.5 and f(ϕ)=G1p+(G1iG1p)I(ϕ)f(\phi)=G^{p}_{1}+(G^{i}_{1}-G^{p}_{1})I(\phi) for ϕ>0.5\phi>0.5. In conventional phase-field formulations for two structurally-distinct phases, a symmetric double-well potential WϕI(ϕ)W_{\phi}I(\phi) is employed to define the excess structural energy across the diffuse IB. In the current formulation, the symmetric part is inherent in the second term (G1iG1p)I(ϕ)(G^{i}_{1}-G^{p}_{1})I(\phi) of the piecewise function, while the first terms G1mG1pG^{m}_{1}\neq G^{p}_{1} results in the asymmetry. For a multicomponent alloy, the model additionally captures the compositional dependence: for an equilibrium, planar IB, f(ce,ϕe)=fm(ce)+We(ce)I(ϕ)f(\textbf{c}^{e},\phi_{e})=f^{m}(\textbf{c}^{e})+W_{e}(\textbf{c}^{e})I(\phi) for ϕe0.5\phi_{e}\leq 0.5 and f(ce,ϕe)=fp(ce)+We(ce)I(ϕe)f(\textbf{c}^{e},\phi_{e})=f^{p}(\textbf{c}^{e})+W_{e}(\textbf{c}^{e})I(\phi_{e}) for ϕe>0.5\phi_{e}>0.5; where We(ce)fi(ce)fm(ce)=fi(ce)fp(ce)W_{e}(\textbf{c}^{e})\equiv f^{i}(\textbf{c}^{e})-f^{m}(\textbf{c}^{e})=f^{i}(\textbf{c}^{e})-f^{p}(\textbf{c}^{e}). Therefore, analogous to the GB energy discussed in the preceding paragraph, the IB energy is obtained as γ0.943εWe(cie,cme)\gamma\approx 0.943\varepsilon\sqrt{W_{e}(\textbf{c}^{e}_{i},\textbf{c}^{e}_{m})}. Thereby γ\gamma accounts for the structural and the chemical energetics for the formation of the interfacial phase (via WeW_{e}) and the associated diffuse regions (via ε\varepsilon). The parametric study (Sec. III) showed the possibility of realizing γ0\gamma\rightarrow 0 for synergistic, induced and enhanced co-segregation cases of quaternary alloys. However, the gradient energy contribution of the diffuse interface—together with the condition of equi-partitioning of the local excess grand-potential (Eq. A33)—imposes a theoretical restriction of γ>0\gamma>0, via We>0W_{e}>0 in Eq. 17.

IV.2 Multicomponent Segregation

The regular solution assumption (Sec. II.4) for the bulk and IB phase thermodynamics allowed a variety of segregation/de-segregation behaviors to be realized. Parameterization was readily possible based on the physical significance afforded by regular solution thermodynamic parameters. Compared to IBs, multicomponent segregation in GBs have been well studied, both experimentally and theoretically [49, 50, 51, 46, 52, 53, 54]. IB segregation in quaternary, two-phase alloys can be found to be similar in many aspects to GB segregation in ternary, single-phase alloys. For example, the addition of certain secondary solutes is well known to enhance GB segregation of the primary solute due to mutually attractive interaction between the solutes at the GB [55]. This is analogous to case VI. Another example is the addition of a secondary solute which is also known to mitigate GB embrittlement caused by the undesired segregation of the primary solute–i.e. the solutes compete for GB sites and the strongly-segregating solute preferentially segregates by desegregating the weaker solute [56]. This is analogous to case VII. Therefore, based on the nature of mutual interaction between the solutes, their combined addition in the ternaries causes GB segregation behaviors that are fundamentally different from that of the individual solutes in their respective binaries. Xing et al. [53] presented a classification of the GB segregation/de-segregation behaviors in ternary single-phase alloys. The segregation mechanisms observed in current study are analogous to those observed for GBs.

The case studies presented in Sec. III are qualitatively representative of the observed mechanisms in the literature. As mentioned in Sec. I, numerous cases of IB co-segregation has already been reported. Several experimental and first-principles studies demonstrate enhanced high-temperature stability of the quaternary alloys due to IB co-segregation and its associated reduction in IB energy γ\gamma. Moreover, some studies suggest the need to desegregate certain solute from the IB: for example, Si at Al(matrix)/θ\theta^{\prime}-Al2Cu in (Al-Cu)-Mn-Zr-Si is found to be deleterious to the microstructural stability in larger amounts [24]; Ca at Mg(matrix)/Al11La3 in (Mg-Al)-La-Ca-Mn is found to destabilize the strengthening precipitate [57] by by nucleating Al2Ca. Therefore, it is also necessary to understand the de-segregation mechanisms (cases VII and VIII) so that alloys could be designed to favor beneficial solutes to segregate in preference to the undesired impurities.

The diffuse-interface thermodynamic formulation was shown to be consistent (see Sec. C) with the classical Gibbs interface phase rule [13]. At a given temperature, the number of components (n𝒩n_{\mathcal{N}}) and the number of coexisting bulk phases (nψn_{\psi}) dictates the number of compositional degrees of freedom (dθf=n𝒩nψd_{\theta}^{f}=n_{\mathcal{N}}-n_{\psi}). Thereby, two compositional degrees of freedom in solute 33 and 44 concentrations were available to modulate the properties of the quaternary IB in Sec. III. Analogously, if the model is applied to a ternary GB (where the common tangent constraint between phases is removed), two compositional degrees of freedom in solutes 22 and 33 will be available. Therefore, in addition to multicomponent IB segregation, the current approach has the potential to be employed for recently observed GB segregations in multi-principal element/high entropy alloys [58].

V Summary and conclusions

We developed a diffuse-interface thermodynamic model for interphase boundary (IB) segregation in multicomponent alloys. In this description, the diffuse IB consists of the IB phase and its compositional gradients with the adjoining bulk phases. Analytic solutions for the planar, stationary IB showed that the equilibrium between IB and bulk phases is set by the parallel tangent conditions. The model is consistent with the classical multicomponent segregation isotherms and the generalized Gibbs adsorption isotherm. Therefore, the resulting expressions for the relative solute excess and the excess IB energy are ideally suited for parameterization using solute segregation energies from atomistic calculations (like DFT), and for direct comparison of with experimental chemical characterizations (like atom probe tomography).

Due to the unavailability of comprehensive data on IB segregation and thermodynamic parameters, we performed a parametric study for a hypothetical quaternary alloy. The regular solution mixing behavior was employed to provide physical significance to the case studies. We demonstrated a variety of co-segregation and desegregation mechanisms in the quaternaries—these arise from unique interactions between the solutes in the IB and the bulk. The case studies resemble the experimentally observed segregation behaviors at quaternary IBs and ternary GBs. However, we assumed a simplified parameteric space for the purpose of illustration. A more thorough exploration of the parametric space will be necessary for understanding matrix-precipitate alloy.

The current nanoscopic model will require a fine descretization of the interface to resolve segregation. However, mesoscopic phase-field simulations are typically performed at the microstructure level with multiple precipitates or grains. Incorporating the nanoscopic model for mesocopic simulations will require further study to determine the possibility of using increased computational interface width to reduce computational expense, while also maintaining the required quantitative IB energy and solute excess. In addition to chemical thermodynamics, IB segregation in many experimental alloys are governed by the interface crystallography [patala2019understanding, homer2015grain], structure [banadaki2018efficient, zhang2016faceted], elastic energy contribution [heo2011phase] and kinetic factors. Therefore, further model development is expected to enable quantitative modeling that can provide design rules for segregation-engineered stable alloys.

Appendix A Equilibrium Phase-field

We present the derivation for the equilibrium phase-field ϕe(x)\phi_{e}(x) in a one-dimensional system. Considering the phase concentrations c2ψc_{2\psi}, c3ψc_{3\psi},…, c𝒩ψc_{\mathcal{N}\psi} (ψ=m,i,p\psi=m,i,p) as functions of (c2c_{2},ϕ\phi) and (c3c_{3},ϕ\phi), respectively, and differentiating cθ(x)c_{\theta}(x) (θ=2,3,,𝒩\theta=2,3,\ldots,\mathcal{N}) in Eq. 1, we get

M(ϕ)cθmcθ+I(ϕ)cθicθ+P(ϕ)cθpcθ=1\displaystyle M(\phi)\frac{\partial c_{\theta m}}{\partial c_{\theta}}+I(\phi)\frac{\partial c_{\theta i}}{\partial c_{\theta}}+P(\phi)\frac{\partial c_{\theta p}}{\partial c_{\theta}}=1 (A25)

and

M(ϕ)cθmϕ+I(ϕ)cθiϕ+P(ϕ)cθpϕ\displaystyle M(\phi)\frac{\partial c_{\theta m}}{\partial\phi}+I(\phi)\frac{\partial c_{\theta i}}{\partial\phi}+P(\phi)\frac{\partial c_{\theta p}}{\partial\phi}
=dM(ϕ)dϕ(cθicθm)+dP(ϕ)dϕ(cθicθp).\displaystyle=\frac{dM(\phi)}{d\phi}\,(c_{\theta i}-c_{\theta m})+\frac{dP(\phi)}{d\phi}\,(c_{\theta i}-c_{\theta p}). (A26)

Eqns. A25 and A26 are used to obtain the derivatives of f(c2,c3,,c𝒩,ϕ)f(c_{2},c_{3},\ldots,c_{\mathcal{N}},\phi) (Eq. 2) as

fcθ=M(ϕ)fmcθmcθmcθ\displaystyle\frac{\partial f}{\partial c_{\theta}}=M(\phi)\frac{\partial f^{m}}{\partial c_{\theta m}}\frac{\partial c_{\theta m}}{\partial c_{\theta}} (A27)
+I(ϕ)ficθicθicθ+P(ϕ)fpcθpcθpcθ\displaystyle\hskip 28.45274pt+I(\phi)\frac{\partial f^{i}}{\partial c_{\theta i}}\frac{\partial c_{\theta i}}{\partial c_{\theta}}+P(\phi)\frac{\partial f^{p}}{\partial c_{\theta p}}\frac{\partial c_{\theta p}}{\partial c_{\theta}}
=(M(ϕ)cθmcθ+I(ϕ)cθicθ+P(ϕ)cθpcθ)μθ1=μθ1\displaystyle=\left(M(\phi)\frac{\partial c_{\theta m}}{\partial c_{\theta}}+I(\phi)\frac{\partial c_{\theta i}}{\partial c_{\theta}}+P(\phi)\frac{\partial c_{\theta p}}{\partial c_{\theta}}\right){\mu}_{\theta 1}={\mu}_{\theta 1}

and

fϕ=θ=2:𝒩[M(ϕ)fmcθmcθmϕ+I(ϕ)ficθicθiϕ\displaystyle\frac{\partial f}{\partial\phi}=\sum_{\theta=2:\mathcal{N}}\left[M(\phi)\frac{\partial f^{m}}{\partial c_{\theta m}}\frac{\partial c_{\theta m}}{\partial\phi}+I(\phi)\frac{\partial f^{i}}{\partial c_{\theta i}}\frac{\partial c_{\theta i}}{\partial\phi}\right.
+P(ϕ)fpcθpcθpϕ]\displaystyle\hskip 28.45274pt\left.+P(\phi)\frac{\partial f^{p}}{\partial c_{\theta p}}\frac{\partial c_{\theta p}}{\partial\phi}\right]
+dMdϕfm+dIdϕfi+dPdϕfp\displaystyle\hskip 28.45274pt+\frac{dM}{d\phi}f^{m}+\frac{dI}{d\phi}f^{i}+\frac{dP}{d\phi}f^{p}
=θ=2:𝒩μθ1(dMdϕ(cθicθm)+dPdϕ(cθicθp))\displaystyle=\sum_{\theta=2:\mathcal{N}}{\mu}_{\theta 1}\left(\frac{dM}{d\phi}(c_{\theta i}-c_{\theta m})+\frac{dP}{d\phi}(c_{\theta i}-c_{\theta p})\right)
+dMdϕfm+dIdϕfi+dPdϕfp\displaystyle+\frac{dM}{d\phi}f^{m}+\frac{dI}{d\phi}f^{i}+\frac{dP}{d\phi}f^{p}
=\displaystyle= (fmfiθ=2:𝒩(cθmcθi)μθ1)dMdϕ\displaystyle\left(f^{m}-f^{i}-\sum_{\theta=2:\mathcal{N}}(c_{\theta m}-c_{\theta i}){\mu}_{\theta 1}\right)\frac{dM}{d\phi}
+(fpfiθ=2:𝒩(cθpcθi)μθ1)dPdϕ.\displaystyle+\left(f^{p}-f^{i}-\sum_{\theta=2:\mathcal{N}}(c_{\theta p}-c_{\theta i}){\mu}_{\theta 1}\right)\frac{dP}{d\phi}. (A28)

where the condition (Eq. 9) of equal diffusion potentials, μθ1(x)\mu_{\theta 1}(x) (θ=2:𝒩\theta=2:\mathcal{N}), between the phases, and the identity dI/dϕ=dM/dϕdP/dϕdI/d\phi=-dM/d\phi-dP/d\phi were used.

At equilibrium, ϕe(x)\phi_{e}(x) must satisfy the condition for stationary interface given by Eq. 8,

fϕe=ε2d2ϕedx2.\displaystyle\frac{\partial f}{\partial\phi_{e}}=\varepsilon^{2}\frac{d^{2}\phi_{e}}{dx^{2}}. (A29)

The phase concentration fields must be constant value across the system, cθψ(x)=cθec_{\theta\psi}(x)=c^{e}_{\theta} (θ=2:𝒩\theta=2:\mathcal{N}) (Eq. 9). Using Eq. A in Eq. A29, we get

WemdM(ϕe)dϕeWepdP(ϕe)dϕe=ε2d2ϕedx2,\displaystyle-W^{m}_{e}\frac{dM(\phi_{e})}{d\phi_{e}}-W^{p}_{e}\frac{dP(\phi_{e})}{d\phi_{e}}=\varepsilon^{2}\frac{d^{2}\phi_{e}}{dx^{2}}, (A30)

where Wemfifmθ=2:𝒩(cθiecθme)μθ1eW^{m}_{e}\equiv f^{i}-f^{m}-\sum_{\theta=2:\mathcal{N}}(c_{\theta i}^{e}-c_{\theta m}^{e}){\mu}_{\theta 1}^{e} and Wepfifpθ=2:𝒩(cθiecθme)μθ1eW^{p}_{e}\equiv f^{i}-f^{p}-\sum_{\theta=2:\mathcal{N}}(c_{\theta i}^{e}-c_{\theta m}^{e}){\mu}_{\theta 1}^{e} are spatially constant. Multiplying both sides by dϕe/dxd\phi_{e}/dx, integrating from x=x=-\infty to x=+x=+\infty, and changing the variable of integration to ϕe\phi_{e}, we get

WemϕemϕeidM(ϕe)dϕe𝑑ϕe+WepϕeiϕepdP(ϕe)dϕe𝑑ϕe=0,\displaystyle{W^{m}_{e}\int_{\phi_{e}^{m}}^{\phi_{e}^{i}}\frac{dM(\phi_{e})}{d\phi_{e}}d\phi_{e}+W^{p}_{e}\int_{\phi_{e}^{i}}^{\phi_{e}^{p}}\frac{dP(\phi_{e})}{d\phi_{e}}d\phi_{e}=0}, (A31)

where ϕem\phi_{e}^{m}, ϕei\phi_{e}^{i} and ϕep\phi_{e}^{p} are the values of the phase-field variable corresponding to exclusive phases mm, ii and pp, respectively. Accordingly, the interpolating functions must satisfy M(ϕem)=0M(\phi_{e}^{m})=0, I(ϕei)=0I(\phi_{e}^{i})=0 and P(ϕep)=0P(\phi_{e}^{p})=0 and M(ϕe)+I(ϕe)+P(ϕe)=1M(\phi_{e})+I(\phi_{e})+P(\phi_{e})=1. The above equation reduces to

Wemϕemϕei𝑑I(ϕe)=Wepϕeiϕep𝑑I(ϕe).\displaystyle W^{m}_{e}\int_{\phi_{e}^{m}}^{\phi_{e}^{i}}{dI(\phi_{e})}=-W^{p}_{e}\int_{\phi_{e}^{i}}^{\phi_{e}^{p}}{dI(\phi_{e})}. (A32)

Therefore, Wem=WepWeW^{m}_{e}=W^{p}_{e}\equiv W_{e} or femfepθ=2:𝒩(cθmecθpe)μθ1e=0f^{m}_{e}-f^{p}_{e}-\sum_{\theta=2:\mathcal{N}}(c_{\theta m}^{e}-c_{\theta p}^{e}){\mu}_{\theta 1}^{e}=0. This relation, together with Eq. 9 constitutes the common tangent hyperplane between fmf^{m} and fpf^{p}, and the parallel tangent hyperplane for fif^{i}. WeW_{e} defines the vertical distance between the common tangent and the parallel tangent hyperplanes. Using Wem=WepWeW^{m}_{e}=W^{p}_{e}\equiv W_{e} in Eq. A29 and integrating after multiplying by dϕe/dxd\phi_{e}/dx gives the equation for equilibrium phase-field,

ε22(dϕedx)2=WeI(ϕe),\displaystyle\frac{\varepsilon^{2}}{2}\left(\frac{d\phi_{e}}{dx}\right)^{2}=W_{e}I(\phi_{e}), (A33)

where the identities dM/dϕe=dI/dϕe-dM/d\phi_{e}=dI/d\phi_{e} for ϕe[ϕem,ϕei]\phi_{e}\in[\phi_{e}^{m},\phi_{e}^{i}] and dP/dϕe=dI/dϕe-dP/d\phi_{e}=dI/d\phi_{e} for ϕe(ϕei,ϕep]\phi_{e}\in(\phi_{e}^{i},\phi_{e}^{p}] were used.

Appendix B Interphase Boundary Energy

In this section, we derive the interphase boundary (IB) energy γ\gamma from the equilibrium solution of the planar, diffuse interface in one dimension. Assuming equal molar volumes vmv_{m} in each phase, the Gibbs solute excess CxsC_{xs} [wheeler1993phase], is evaluated with reference to the Gibbs dividing surface at x=0x=0 as

Cθxs\displaystyle C^{xs}_{\theta} =l+lcθe(x)𝑑xl0cθme𝑑x0+lcθpe𝑑x\displaystyle=\int_{-l}^{+l}c^{e}_{\theta}(x)dx-\int_{-l}^{0}c_{\theta m}^{e}dx-\int_{0}^{+l}c_{\theta p}^{e}dx
=(2cθiecθmecθpe)ε32We,\displaystyle={(2c_{\theta i}^{e}-c_{\theta m}^{e}-c_{\theta p}^{e})\frac{\varepsilon}{3\sqrt{2W_{e}}}}, (B34)

where l,+l{-l,+l} are layer bounds far from the diffuse interface. γ\gamma is defined as the excess grand potential [wheeler1992phase, mcfadden2002gibbs] of the diffuse interface, and is evaluated with reference to the physical mixture between the equilibrium bulk phases (geometrically, the common tangent hyperplane). For the multicomponent system,

γ=(o)θ=2:𝒩Cθxsμθ1e,\displaystyle\gamma=(\mathcal{F}-\mathcal{F}_{o})-\sum_{\theta=2:\mathcal{N}}C^{xs}_{\theta}{\mu}^{e}_{\theta 1}, (B35)

where \mathcal{F} is the total free energy (Eq. 4) of the diffuse-interface system and o\mathcal{F}_{o} is the free energy of the Gibbs reference system whose matrix and precipitate properties remain homogeneous up to the dividing surface at x=0x=0. Therefore,

γ=\displaystyle\gamma= l+l[f(c2e,c3e,,c𝒩e,ϕe)+ε22(dϕedx)2]𝑑x\displaystyle\int_{-l}^{+l}\left[f(c^{e}_{2},c^{e}_{3},\ldots,c^{e}_{\mathcal{N}},\phi_{e})+\frac{\varepsilon^{2}}{2}\left(\frac{d\phi_{e}}{dx}\right)^{2}\right]dx
l0fm𝑑x0+lfp𝑑xθ=2:𝒩Cθxsμθ1e.\displaystyle-\int_{-l}^{0}f^{m}dx-\int_{0}^{+l}f^{p}dx-\sum_{\theta=2:\mathcal{N}}C^{xs}_{\theta}{\mu}^{e}_{\theta 1}. (B36)

Substituting the expressions for ff (Eq. 2) and CxsC_{xs} (Eq. B), and reorganizing the terms to evaluate the integrals piecewise over [l,0][-l,0] and (0,+l](0,+l], we get

γ\displaystyle\gamma =l+lε22(dϕedx)2𝑑x\displaystyle=\int_{-l}^{+l}\frac{\varepsilon^{2}}{2}\left(\frac{d\phi_{e}}{dx}\right)^{2}dx
+l0[(1M(ϕe))(feifem2:𝒩(cθiecθme)μθ1e)]𝑑x\displaystyle+\int_{-l}^{0}\left[\left(1-M(\phi_{e})\right)\left(f^{i}_{e}-f^{m}_{e}-\sum_{2:\mathcal{N}}(c^{e}_{\theta i}-c^{e}_{\theta m}){\mu}^{e}_{\theta 1}\right)\right]dx
+0+l[(1P(ϕe))(feifep2:𝒩(cθiecθpe)μθ1e)]𝑑x,\displaystyle+\int_{0}^{+l}\left[\left(1-P(\phi_{e})\right)\left(f^{i}_{e}-f^{p}_{e}-\sum_{2:\mathcal{N}}(c^{e}_{\theta i}-c^{e}_{\theta p}){\mu}^{e}_{\theta 1}\right)\right]dx,

where the identities I(ϕe(x))=1M(ϕe(x))I(\phi_{e}(x))=1-M(\phi_{e}(x)) on [l,0][-l,0] and I(ϕe(x))=1P(ϕe(x))I(\phi_{e}(x))=1-P(\phi_{e}(x)) on (0,+l](0,+l] were used. Simplifying the second and third terms, we get

γ\displaystyle\gamma =l+lε22(dϕedx)2𝑑x+l+lWeI(ϕe)𝑑x\displaystyle=\int_{-l}^{+l}\frac{\varepsilon^{2}}{2}\left(\frac{d\phi_{e}}{dx}\right)^{2}dx+\int_{-l}^{+l}W_{e}I(\phi_{e})dx
=l+lε2(dϕedx)2𝑑x=ϕemϕepε2dϕedx𝑑ϕe,\displaystyle=\int_{-l}^{+l}\varepsilon^{2}\left(\frac{d\phi_{e}}{dx}\right)^{2}dx=\int_{\phi_{e}^{m}}^{\phi_{e}^{p}}\varepsilon^{2}\frac{d\phi_{e}}{dx}d\phi_{e}, (B37)

where the definition of WeW_{e} (Eq. II.2) and the equality in Eq. A33 were used.

Appendix C Relative Excess Quantities

In this section, we apply the layer treatment of [cahn1979interfacial] to the diffuse-interface equilibirum system. This will allow the generalized Gibbs adsorption equation to be derived in terms of the relative solute excess Γθ(1,2)\Gamma^{(1,2)}_{\theta} and the relative entropy excess ΓS(1,2)\Gamma^{(1,2)}_{S} as contained in the current formulation. For the layer [l,l][-l,l] containing the interfacial gradients, the following thermodynamic relation must hold at constant pressure [cahn1979interfacial, frolov2015phases]

dγ=[S]dTθ=1𝒩[Nθ]dμ¯θ,\displaystyle d\gamma=-[S]dT-\displaystyle\sum_{\theta=1}^{\mathcal{N}}[N_{\theta}]d\bar{\mu}_{\theta}, (C38)

where [S]=Sl/Ai=lls(x)𝑑x[S]={S_{l}}/{A_{i}}=\int_{-l}^{l}s(x)dx, [Nθ]=Nθ/Ai=llρθ(x)𝑑x[N_{\theta}]=N_{\theta}/A_{i}=\int_{-l}^{l}\rho_{\theta}(x)dx are the layer contents of the respective physical quantities, per IB area AiA_{i}, and the terms in the integrand are the corresponding densities. For the bulk phases (ψ=m,p\psi=m,p), the following Gibbs-Duhem equations must also hold

0\displaystyle 0 =SψdTθ=1𝒩Nθψdμ¯θ.\displaystyle=-S^{\psi}dT-\sum_{\theta=1}^{\mathcal{N}}N_{\theta}^{\psi}d\bar{\mu}_{\theta}. (C39)

The two Gibbs-Duhem relations can be used to eliminate the variation in two intensive thermodynamic quantities among dγ,dT,dμ¯1,,dμ¯𝒩{d\gamma,dT,d\bar{\mu}_{1},\ldots,d\bar{\mu}_{\mathcal{N}}} from Eq. C38. This can be done by applying Cramer’s rule to Eqs. C38C39. Following [cahn1979interfacial], and choosing the chemical potentials of 11 and 22 as the dependent variations to be eliminated, the generalized Gibbs adsorption equation is obtained as

dγ\displaystyle d\gamma =[S/N1N2]dTθ=1𝒩[Nθ/N1N2]dμ¯θ\displaystyle=-[S/N_{1}N_{2}]dT-\sum_{\theta=1}^{\mathcal{N}}[N_{\theta}/N_{1}N_{2}]d\bar{\mu}_{\theta}
=ΓS(1,2)dTθ=1𝒩Γθ(1,2)dμθ,\displaystyle=-\Gamma^{(1,2)}_{S}dT-\sum_{\theta=1}^{\mathcal{N}}\Gamma^{(1,2)}_{\theta}d\mu_{\theta}, (C40)

where μθe=μ¯θ/ρm\mu^{e}_{\theta}=\bar{\mu}_{\theta}/\rho_{m} is the equilibrium chemical potential of component 33 in the bulk, and can be evaluated from the bulk phase free energy density (and its derivatives with concentrations μθ1e\mu^{e}_{\theta 1}) as [lupis1983chemical]

μθe=fmξ=2:𝒩(δθξcξmeμξ1e),\displaystyle\mu^{e}_{\theta}=f^{m}-\sum_{\xi=2:\mathcal{N}}\left(\delta_{\theta\xi}-c^{e}_{\xi m}\mu^{e}_{\xi 1}\right), (C41)

where δθξ\delta_{\theta\xi} is the Kronecker delta. The conjugate coefficients to the intensive quantities are defined as

[Z/N1N2]=|[Z][N1][N2]ZmN1mN2mZpN1pN2p|÷|N1mN2mN1pN2p|,\displaystyle[Z/N_{1}N_{2}]={\begin{vmatrix}[Z]&[N_{1}]&[N_{2}]\\ Z^{m}&N_{1}^{m}&N_{2}^{m}\\ Z^{p}&N_{1}^{p}&N_{2}^{p}\end{vmatrix}}\div{\begin{vmatrix}N_{1}^{m}&N_{2}^{m}\\ N_{1}^{p}&N_{2}^{p}\end{vmatrix}}, (C42)

where Z={S,N3,,N𝒩}Z=\{S,N_{3},\ldots,N_{\mathcal{N}}\}. Unlike Eq. C38, the generalized coefficients in Eq. C are invariant to the placement of the layer bounds. They are also independent of the Gibbs dividing surface convention. Assuming the molar densities (ρm=1/vm\rho_{m}=1/v_{m}) of the components to be equal and constant throughout the system, ρθ(x)=ρmcθ(x)\rho_{\theta}(x)=\rho_{m}c_{\theta}(x), the determinants in Eq. C42 can be evaluated as

Γθ(1,2)\displaystyle\Gamma^{(1,2)}_{\theta} [Nθ/N1N2]vm\displaystyle\equiv[N_{\theta}/N_{1}N_{2}]v_{m}
=ll[(cθe(x)(c1mecθpecθmec1pe)(c1mec2pec2mec1pe)c2e(x)\displaystyle=\int_{-l}^{l}\left[(c^{e}_{\theta}(x)-\frac{(c^{e}_{1m}c^{e}_{\theta p}-c^{e}_{\theta m}c^{e}_{1p})}{(c^{e}_{1m}c^{e}_{2p}-c^{e}_{2m}c^{e}_{1p})}c^{e}_{2}(x)\right.
(cθmec2pec2mecθpe)(c1mec2pec2mec1pe)c1e(x)]dx\displaystyle-\left.\frac{(c^{e}_{\theta m}c^{e}_{2p}-c^{e}_{2m}c^{e}_{\theta p})}{(c^{e}_{1m}c^{e}_{2p}-c^{e}_{2m}c^{e}_{1p})}c^{e}_{1}(x)\right]dx (C43)

and

ΓS(1,2)\displaystyle\Gamma^{(1,2)}_{S} [S/N1N2]\displaystyle\equiv[S/N_{1}N_{2}]
=ll[(se(x)(c1mesepsemc1pe)(c1mec2pec2mec1pe)c2e(x).\displaystyle=\int_{-l}^{l}\Bigg{[}(s_{e}(x)-\frac{(c^{e}_{1m}s^{p}_{e}-s^{m}_{e}c^{e}_{1p})}{(c^{e}_{1m}c^{e}_{2p}-c^{e}_{2m}c^{e}_{1p})}c^{e}_{2}(x)\Bigg{.}
.(semc2pec2mesep)(c1mec2pec2mec1pe)c1e(x)]dx,\displaystyle-\Bigg{.}\frac{(s^{m}_{e}c^{e}_{2p}-c^{e}_{2m}s^{p}_{e})}{(c^{e}_{1m}c^{e}_{2p}-c^{e}_{2m}c^{e}_{1p})}c^{e}_{1}(x)\Bigg{]}dx, (C44)

where the constraint c1e(x)=1θ=2𝒩cθe(x)c^{e}_{1}(x)=1-\sum_{\theta=2}^{\mathcal{N}}c^{e}_{\theta}(x) is assumed and Γ1/2(1,2)=0\Gamma^{(1,2)}_{1/2}=0 is realized. Analytic relations for the excess quantities can be obtained by evaluating the integrals with reference to the Gibbs dividing surface at x=0x=0 as done in Eq. B. Therefore,

ΓS(1,2)=\displaystyle\Gamma^{(1,2)}_{S}= Sxs(c1mespesmec1pe)(c1mec2pec2mec1pe)C2xs\displaystyle S^{xs}-\frac{(c^{e}_{1m}s^{e}_{p}-s^{e}_{m}c^{e}_{1p})}{(c^{e}_{1m}c^{e}_{2p}-c^{e}_{2m}c^{e}_{1p})}C^{xs}_{2}
(smec2pec2mespe)(c1mec2pec2mec1pe)C1xs,\displaystyle-\frac{(s^{e}_{m}c^{e}_{2p}-c^{e}_{2m}s^{e}_{p})}{(c^{e}_{1m}c^{e}_{2p}-c^{e}_{2m}c^{e}_{1p})}C^{xs}_{1}, (C45)

where

Sxs=ε32We(2siesmespe).\displaystyle{S^{xs}=\frac{\varepsilon}{3\sqrt{2W_{e}}}\left(2s^{e}_{i}-s^{e}_{m}-s^{e}_{p}\right)}. (C46)

Similarly Eq. II.3 is obtained for Γθ(1,2)\Gamma^{(1,2)}_{\theta} in terms of the analytic Gibbs solute excess Eq. 20.

ACKNOWLEDGMENTS

SBK and SP were supported by the U.S. National Science Foundation under Grants DMR-1554270 and CMMI-1826173. The authors are grateful to Prof. Fadi Abdeljawad (Clemson University) for helpful discussions on phase-field modeling and multicomponent grain boundary segregation.

References

  • Roy et al. [2017] S. Roy, L. F. Allard, A. Rodriguez, W. D. Porter, and A. Shyam, Comparative evaluation of cast aluminum alloys for automotive cylinder heads: Part II—mechanical and thermal properties, Metallurgical and Materials Transactions A 48, 2543 (2017).
  • Mendis et al. [2006] C. Mendis, C. Bettles, M. Gibson, and C. Hutchinson, An enhanced age hardening response in Mg–Sn based alloys containing Zn, Materials Science and Engineering: A 435, 163 (2006).
  • Seidman et al. [2002] D. N. Seidman, E. A. Marquis, and D. C. Dunand, Precipitation strengthening at ambient and elevated temperatures of heat-treatable Al(Sc) alloys, Acta Materialia 50, 4021 (2002).
  • Pollock and Tin [2006] T. M. Pollock and S. Tin, Nickel-based superalloys for advanced turbine engines: chemistry, microstructure and properties, Journal of propulsion and power 22, 361 (2006).
  • Bauer et al. [2012] A. Bauer, S. Neumeier, F. Pyczak, R. F. Singer, and M. Göken, Creep properties of different γ\gamma^{\prime}-strengthened Co-base superalloys, Materials Science and Engineering: A 550, 333 (2012).
  • Zhao et al. [2018] Y. Zhao, H. Chen, Z. Lu, and T. Nieh, Thermal stability and coarsening of coherent particles in a precipitation-hardened (NiCoFeCr)94Ti2Al4 high-entropy alloy, Acta Materialia 147, 184 (2018).
  • Gao et al. [2020] Y. Gao, P. Guan, R. Su, H. Chen, C. Yang, C. He, L. Cao, H. Song, J. Zhang, X. Zhang, et al., Segregation-sandwiched stable interface suffocates nanoprecipitate coarsening to elevate creep resistance, Materials Research Letters 8, 446 (2020).
  • Ratke and Voorhees [2013] L. Ratke and P. W. Voorhees, Growth and Coarsening: Ostwald Ripening in Material Processing (Springer Science & Business Media, 2013).
  • Clouet et al. [2006] E. Clouet, L. Laé, T. Épicier, W. Lefebvre, M. Nastar, and A. Deschamps, Complex precipitation pathways in multicomponent alloys, Nature Materials 5, 482 (2006).
  • Marquis and Seidman [2005] E. A. Marquis and D. N. Seidman, Coarsening kinetics of nanoscale Al3Sc precipitates in an Al–Mg–Sc alloy, Acta Materialia 53, 4259 (2005).
  • Cahn [1979] J. W. Cahn, Thermodynamics of solid and fluid surfaces, in Interfacial Segregation, edited by W. C. Johnson and J. M. Blakely (ASM, Metals Park, OH, 1979) pp. 3–23.
  • Kaplan et al. [2013] W. D. Kaplan, D. Chatain, P. Wynblatt, and W. C. Carter, A review of wetting versus adsorption, complexions, and related phenomena: the rosetta stone of wetting, Journal of Materials Science 48, 5681 (2013).
  • Frolov and Mishin [2015] T. Frolov and Y. Mishin, Phases, phase equilibria, and phase rules in low-dimensional systems, The Journal of Chemical Physics 143, 044706 (2015).
  • Marquis et al. [2006] E. A. Marquis, D. N. Seidman, M. Asta, and C. Woodward, Composition evolution of nanoscale Al3Sc precipitates in an Al–Mg–Sc alloy: Experiments and computations, Acta Materialia 54, 119 (2006).
  • Amouyal et al. [2008] Y. Amouyal, Z. Mao, and D. N. Seidman, Segregation of tungsten at γ\gamma^{\prime}(L12)/γ\gamma (fcc) interfaces in a Ni-based superalloy: An atom-probe tomographic and first-principles study, Applied Physics Letters 93, 201905 (2008).
  • Biswas et al. [2011] A. Biswas, D. J. Siegel, C. Wolverton, and D. N. Seidman, Precipitates in Al–Cu alloys revisited: Atom-probe tomographic experiments and first-principles calculations of compositional evolution and interfacial segregation, Acta Materialia 59, 6187 (2011).
  • Shin et al. [2017] D. Shin, A. Shyam, S. Lee, Y. Yamamoto, and J. A. Haynes, Solute segregation at the Al/θ\theta^{\prime}-Al2Cu interface in Al-Cu alloys, Acta Materialia 141, 327 (2017).
  • Samolyuk et al. [2020] G. D. Samolyuk, M. Eisenbach, D. Shin, Y. N. Osetsky, A. Shyam, and J. R. Morris, Equilibrium solute segregation to matrix-θ{\theta}^{{}^{\prime}} precipitate interfaces in Al-Cu alloys from first principles, Phys. Rev. Materials 4, 073801 (2020).
  • Hutchinson et al. [2001] C. R. Hutchinson, X. Fan, S. J. Pennycook, and G. J. Shiflet, On the origin of the high coarsening resistance of Ω\Omega plates in Al–Cu–Mg–Ag alloys, Acta Materialia 49, 2827 (2001).
  • Sun et al. [2009] L. Sun, D. L. Irving, M. A. Zikry, and D. Brenner, First-principles investigation of the structure and synergistic chemical bonding of Ag and Mg at the Al—Ω\Omega interface in a Al–Cu–Mg–Ag alloy, Acta Materialia 57, 3522 (2009).
  • Rosalie and Bourgeois [2012] J. M. Rosalie and L. Bourgeois, Silver segregation to θ\theta^{\prime}(Al2Cu)–Al interfaces in Al–Cu–Ag alloys, Acta Materialia 60, 6033 (2012).
  • Kang et al. [2014] S. J. Kang, Y.-W. Kim, M. Kim, and J.-M. Zuo, Determination of interfacial atomic structure, misfits and energetics of Ω\Omega phase in Al–Cu–Mg–Ag alloy, Acta Materialia 81, 501 (2014).
  • Biswas et al. [2010] A. Biswas, D. J. Siegel, and D. N. Seidman, Simultaneous segregation at coherent and semicoherent heterophase interfaces, Physical Review Letters 105, 076102 (2010).
  • Shyam et al. [2019] A. Shyam, S. Roy, D. Shin, J. D. Poplawsky, L. Allard, Y. Yamamoto, J. Morris, B. Mazumder, J. Idrobo, A. Rodriguez, et al., Elevated temperature microstructural stability in cast alcumnzr alloys through solute segregation, Materials Science and Engineering: A 765, 138279 (2019).
  • Wang and Wang [2008] Y.-J. Wang and C.-Y. Wang, The alloying mechanisms of Re, Ru in the quaternary Ni-based superalloys γ\gamma/γ\gamma^{\prime} interface: a first principles calculation, Materials Science and Engineering: A 490, 242 (2008).
  • Wu et al. [2020] X. Wu, S. K. Makineni, C. H. Liebscher, G. Dehm, J. R. Mianroodi, P. Shanthraj, B. Svendsen, D. Bürger, G. Eggeler, D. Raabe, et al., Unveiling the re effect in ni-based single crystal superalloys, Nature communications 11, 1 (2020).
  • Blum et al. [2020] I. Blum, S.-I. Baik, M. G. Kanatzidis, and D. N. Seidman, An integral method for the calculation of the reduction in interfacial free energy due to interfacial segregation, arXiv preprint arXiv:2003.01246  (2020).
  • McLean [1957] D. McLean, Grain Boundaries in Metals (Oxford University Press, Oxford, 1957).
  • Sutton and Balluffi [1995] A. P. Sutton and R. W. Balluffi, Interfaces in Crystalline Materials (Clarendon Press, 1995).
  • Guttmann et al. [1979] M. Guttmann, D. McLean, W. Johnson, and J. Blakely, Interfacial segregation, ASM, Metals Park, Ohio 261 (1979).
  • Cha et al. [2002] P.-R. Cha, S. G. Kim, D.-H. Yeon, and J.-K. Yoon, A phase field model for the solute drag on moving grain boundaries, Acta Materialia 50, 3817 (2002).
  • Kim and Park [2008] S. G. Kim and Y. B. Park, Grain boundary segregation, solute drag and abnormal grain growth, Acta Materialia 56, 3739 (2008).
  • Abdeljawad and Foiles [2015] F. Abdeljawad and S. M. Foiles, Stabilization of nanocrystalline alloys via grain boundary segregation: a diffuse interface model, Acta Materialia 101, 159 (2015).
  • Abdeljawad et al. [2017] F. Abdeljawad, P. Lu, N. Argibay, B. G. Clark, B. L. Boyce, and S. M. Foiles, Grain boundary segregation in immiscible nanocrystalline alloys, Acta Materialia 126, 528 (2017).
  • Kim et al. [2016] S. G. Kim, J. S. Lee, and B.-J. Lee, Thermodynamic properties of phase-field models for grain boundary segregation, Acta Materialia 112, 150 (2016).
  • Kim et al. [1999] S. G. Kim, W. T. Kim, and T. Suzuki, Phase-field model for binary alloys, Physical Review E 60, 7186 (1999).
  • Kadambi et al. [2020a] S. B. Kadambi, F. Abdeljawad, and S. Patala, A phase-field approach for modeling equilibrium solute segregation at the interphase boundary in binary alloys, Computational Materials Science 175, 109533 (2020a).
  • Kadambi et al. [2020b] S. B. Kadambi, F. Abdeljawad, and S. Patala, Interphase boundary segregation and precipitate coarsening resistance in ternary alloys: An analytic phase-field model describing chemical effects, Acta Materialia 197, 283 (2020b).
  • Kadambi [2020] S. B. Kadambi, Interphase Boundary Segregation Engineering (North Carolina State University, 2020).
  • Balluffi et al. [2005] R. W. Balluffi, S. Allen, and W. C. Carter, Kinetics of Materials (John Wiley & Sons, 2005).
  • Hillert [1975] M. Hillert, The uses of Gibbs free energy-composition diagrams, in Lectures on the Theory of Phase Transformations, edited by H. I. Aaronson (AIME, New York, 1975) Chap. 1, pp. 1–50.
  • McFadden and Wheeler [2002] G. B. McFadden and A. Wheeler, On the Gibbs adsorption equation and diffuse interface models, in Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, Vol. 458 (The Royal Society, 2002) pp. 1129–1149.
  • Lupis [1983] C. H. Lupis, Chemical Thermodynamics of Materials (North-Holland, New York, 1983).
  • DeHoff [2006] R. DeHoff, Thermodynamics in Materials Science (CRC Press, 2006).
  • Guttmann [1975] M. Guttmann, Equilibrium segregation in a ternary solution: A model for temper embrittlement, Surface Science 53, 213 (1975).
  • Lejček [2010] P. Lejček, Grain Boundary Segregation in Metals, Vol. 136 (Springer Science & Business Media, 2010).
  • Guggenheim [1985] E. A. Guggenheim, Thermodynamics. An Advanced Treatment for Chemists and Physicists (North-Holland, Amsterdam, 1985).
  • Provatas and Elder [2011] N. Provatas and K. Elder, Phase-field Methods in Materials Science and Engineering (John Wiley & Sons, 2011).
  • Guttmann and McLean [1979] M. Guttmann and D. McLean, Grain boundary segregation in multicomponent systems, Interfacial segregation , 261 (1979).
  • Erhart and Grabke [1981] H. Erhart and H.-J. Grabke, Equilibrium segregation of phosphorus at grain boundaries of Fe–P, Fe–C–P, Fe–Cr–P, and Fe–Cr–C–P alloys, Metal Science 15, 401 (1981).
  • Guttmann et al. [1982] M. Guttmann, P. Dumoulin, and M. Wayman, The thermodynamics of interactive co-segregation of phosphorus and alloying elements in iron and temper-brittle steels, Metallurgical Transactions A 13, 1693 (1982).
  • Lejček [2013] P. Lejček, Effect of ternary solute interaction on interfacial segregation and grain boundary embrittlement, Journal of Materials Science 48, 4965 (2013).
  • Xing et al. [2018] W. Xing, A. R. Kalidindi, D. Amram, and C. A. Schuh, Solute interaction effects on grain boundary segregation in ternary alloys, Acta Materialia 161, 285 (2018).
  • Xing et al. [2019] W. Xing, S. A. Kube, A. R. Kalidindi, D. Amram, J. Schroers, and C. A. Schuh, Stability of ternary nanocrystalline alloys in the Pt–Pd–Au system, Materialia 8, 100449 (2019).
  • Gas et al. [1982] P. Gas, M. Guttmann, and J. Bernardini, The interactive co-segregation of Sb and Ni at the grain boundaries of ultra-high purity Fe-base alloys, Acta Metallurgica 30, 1309 (1982).
  • Suzuki et al. [1991] S. Suzuki, S. Tanii, K. Abiko, and H. Kimura, Site competition between sulfur and carbon at grain boundaries and their effects on the grain boundary cohesion in iron, Metallurgical Transactions A 18, 1109 (1991).
  • Yang et al. [2020] Q. Yang, S. Lv, P. Qin, F. Meng, X. Qiu, X. Hua, K. Guan, W. Sun, X. Liu, and J. Meng, Interphase boundary segregation induced phase transformation in a high-pressure die casting Mg-Al-La-Ca-Mn alloy, Materials & Design , 108566 (2020).
  • Li et al. [2020] L. Li, R. D. Kamachali, Z. Li, and Z. Zhang, Grain boundary energy effect on grain boundary segregation in an equiatomic high-entropy alloy, Physical Review Materials 4, 053603 (2020).
  • Patala [2019] S. Patala, Understanding grain boundaries–the role of crystallography, structural descriptors and machine learning, Computational Materials Science 162, 281 (2019).
  • Homer et al. [2015] E. R. Homer, S. Patala, and J. L. Priedeman, Grain boundary plane orientation fundamental zones and structure-property relationships, Scientific reports 5, 1 (2015).
  • Banadaki et al. [2018] A. D. Banadaki, M. A. Tschopp, and S. Patala, An efficient monte carlo algorithm for determining the minimum energy structures of metallic grain boundaries, Computational Materials Science 155, 466 (2018).
  • Zhang et al. [2016] W.-Z. Zhang, X.-F. Gu, and F.-Z. Dai, Faceted interfaces: a key feature to quantitative understanding of transformation morphology, npj Computational Materials 2, 1 (2016).
  • Heo et al. [2011] T. W. Heo, S. Bhattacharyya, and L.-Q. Chen, A phase field study of strain energy effects on solute–grain boundary interactions, Acta materialia 59, 7800 (2011).
  • Wheeler et al. [1993] A. A. Wheeler, W. J. Boettinger, and G. B. McFadden, Phase-field model of solute trapping during solidification, Physical Review E 47, 1893 (1993).
  • Wheeler et al. [1992] A. A. Wheeler, W. J. Boettinger, and G. B. McFadden, Phase-field model for isothermal phase transitions in binary alloys, Physical Review A 45, 7424 (1992).