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Formal justification of a continuum relaxation model for one-dimensional moiré materials

Jingzhi (David) Zhou and Alexander B. Watson
Abstract

Mechanical relaxation in moiré materials is often modeled by a continuum model where linear elasticity is coupled to a stacking penalty known as the Generalized Stacking Fault Energy (GSFE). We review and compute minimizers of a one-dimensional version of this model, and then show how it can be formally derived from a natural atomistic model. Specifically, we show that the continuum model emerges in the limit ϵ0\epsilon\downarrow 0 and δ0\delta\downarrow 0 while holding the ratio η:=ϵ2δ\eta:=\frac{\epsilon^{2}}{\delta} fixed, where ϵ:=aa\epsilon:=\frac{a}{a_{\mathcal{M}}} is the ratio of the monolayer lattice constant to the moiré lattice constant and δ:=V0κ\delta:=\frac{V_{0}}{\kappa} is the ratio of the typical stacking energy to the monolayer stiffness.

1 Introduction

The remarkable electronic properties of moiré materials, stackings of 2D materials with mismatched Bravais lattices, have attracted considerable attention in recent years, especially since the observation of correlated insulator and superconducting phases in “magic angle” twisted bilayer graphene [3, 2].

It has been proposed in, for example, [6, 4, 10, 5] that these properties are considerably modified by atomic relaxation, where atoms within each layer re-arrange themselves to minimize mechanical energy within the stacked structure.

In each of these works, atomic relaxation is modelled by a continuum model where linear elasticity describing the stiffness of each layer is coupled to a stacking energy penalty. This energy, known as the Generalized Stacking Fault Energy (GSFE), can be efficiently parametrized using Density Functional Theory (DFT) applied to untwisted layers. For concreteness, we refer to this model as the GSFE model.

The present work has two main parts. In the first part (Sections 2 and 3), we review the GSFE model and its numerical solutions as it applies to stacked 1D chains, where the interlayer twist can be modelled as a mismatch between the layer lattice constants. We provide details of the numerical algorithm used to compute minimizers of the GSFE energy functional in Appendix A.

In the second part (Section 4), we show how the GSFE model can be derived by taking a formal atomistic-to-continuum limit from a natural atomistic energy defined through interatomic pair potentials. Such atomistic energies have been proposed as models for relaxation in moiré materials in, e.g., [7]. We argue that the parameter regime where the GSFE model should be accurate is indeed realized in twisted bilayer graphene near to the magic angle. Note that in the present work we do not make any rigorous connection between the atomistic and continuum models, for example, by establishing convergence of their minimizers. This will be the content of future works.

Acknowledgements

This work was carried out during JZ’s REU project at University of Minnesota during Summer 2024 supervised by ABW. JZ and ABW would like to thank Michael Hott and Mitchell Luskin for stimulating discussions.

2 GSFE Model

We start by reviewing the GSFE model of atomic relaxation in one dimension following Nam and Koshino [8].

We consider a two layers of atoms as shown in Figure 1. In the unrelaxed state, atoms are assumed to space evenly. We assume that the lattice constant in layer 1 is a>0a>0, while the lattice constant in layer 2 is a(1θ)a(1-\theta), where 0<θ<10<\theta<1.

Refer to caption
Figure 1: The two layers of atoms in one moiré supercell before relaxation.

Starting from the origin where an atom on layer 1 is exactly aligned with an atom on layer 2, the disregistry of the nnth atom on layer 1 relative to the nnth atom on layer 2 is

ana(1θ)n=θanmod(1θ)a.an-a(1-\theta)n=\theta an\mod(1-\theta)a. (1)

The (unrelaxed) interpolated disregistry function is obtained by replacing anan in (1) by the continuous variable xx, i.e.,

δ0(x):=θxmod(1θ)a.\delta_{0}(x):=\theta x\mod(1-\theta)a. (2)

The moiré period aa_{\mathcal{M}} is the minimal period of this function, so that

a=a(1θ)θ.a_{\mathcal{M}}=\frac{a(1-\theta)}{\theta}. (3)

We consider the case where the system is exactly periodic with respect to the moiré lattice. This is sometimes called making a moiré supercell. We thus have

Ma=Na(1θ)=aMa=Na(1-\theta)=a_{\mathcal{M}} (4)

for positive integers M,NM,N. Re-arranging these identities, we have that

N=1θ,N=\frac{1}{\theta}, (5)

while

M=1θθ=1θ1,M=\frac{1-\theta}{\theta}=\frac{1}{\theta}-1, (6)

so that N=M+1N=M+1.

To obtain rough physical values for these quantities, recall that the graphene lattice constant is a=.25a=.25 nm, while the “magic angle” θ10.02\theta\approx 1^{\circ}\approx 0.02 rad =150=\frac{1}{50} corresponding to M=49M=49. For these values the moiré cell is

(.25)(.98)(.02) nm =12.25 nm.(.25)\frac{(.98)}{(.02)}\text{ nm }=12.25\text{ nm}. (7)

In particular, we have the separation of lengthscales aaa\ll a_{\mathcal{M}}. We will return to this point in Section 4.

We can now introduce the GSFE relaxation model following Nam and Koshino [8]. Let ui:[0,a)u_{i}:[0,a_{\mathcal{M}})\rightarrow\mathbb{R}, i=1,2i=1,2, denote moiré-periodic continuum atomic displacement functions, so that

ui(x+a)=ui(x),i=1,2.u_{i}(x+a_{\mathcal{M}})=u_{i}(x),\quad i=1,2. (8)

Note that by restricting the displacement functions to \mathbb{R} we enforce that atoms move only in the parallel direction, not in the transverse direction.

We assume that the total mechanical energy is the sum of intralayer and interlayer contributions

Etotal(u1,u2):=Eintra(u1,u2)+Einter(u1,u2).E_{\text{total}}(u_{1},u_{2}):=E_{\text{{intra}}}(u_{1},u_{2})+E_{\text{inter}}(u_{1},u_{2}). (9)

We model the intralayer energy by linear elasticity

Eintra(u1,u2):=κ20a[(u1x)2+(u2x)2]dx,E_{\text{intra}}(u_{1},u_{2}):=\frac{\kappa}{2}\int_{0}^{a_{\mathcal{M}}}\left[\left(\frac{\partial u_{1}}{\partial x}\right)^{2}+\left(\frac{\partial u_{2}}{\partial x}\right)^{2}\right]\text{d}x, (10)

where κ>0\kappa>0 is an elastic constant with units of energy per unit length characterizing the stiffness of the lattices. We model the interlayer energy by

Einter(u1,u2):=0aV[δ(x)]dx,E_{\text{inter}}(u_{1},u_{2}):=\int_{0}^{a_{\mathcal{M}}}\!V[\delta(x)]\,\textrm{d}x, (11)

where V[δ]V[\delta] is a stacking energy per unit length, and

δ(x):=δ0(x)+u1(x)u2(x)\delta(x):=\delta_{0}(x)+u_{1}(x)-u_{2}(x) (12)

denotes the interpolated disregistry function (2) modified by relaxation. We follow Nam and Koshino by assuming the stacking energy VV has the simple form

V[δ]=2V0cos(2π(1θ)aδ),V[\delta]=-2V_{0}\cos\left(\frac{2\pi}{(1-\theta)a}\delta\right), (13)

where V0>0V_{0}>0. Note that assuming V0>0V_{0}>0 ensures that the stacking energy rewards stackings where atoms on each layer are directly on top of each other.

Again, it is useful to consider rough physical values for these quantities. According to [4], for graphene, we have κ50,000\kappa\approx 50,000 meV per unit area, while values of the stacking energy VV vary over the scale of 2020 meV per unit area. We thus have the separation of energy scales V0κV_{0}\ll\kappa. We will also return to this point in Section 4.

Since the stacking energy depends only on the displacement difference u1u2u_{1}-u_{2}, it is natural to introduce the equivalent unknown functions

u+(x):=u1(x)+u2(x)2,u(x):=u1(x)u2(x)2,u_{+}(x):=\frac{u_{1}(x)+u_{2}(x)}{\sqrt{2}},\quad u_{-}(x):=\frac{u_{1}(x)-u_{2}(x)}{\sqrt{2}}, (14)

so that the energy becomes

Etotal(u+,u):=Eintra(u+,u)+Einter(u+,u),E_{\text{total}}(u_{+},u_{-}):=E_{\text{intra}}(u_{+},u_{-})+E_{\text{inter}}(u_{+},u_{-}), (15)

where now

Eintra(u+,u):=κ20a[(u+x)2+(ux)2]dx,E_{\text{intra}}(u_{+},u_{-}):=\frac{\kappa}{2}\int_{0}^{a_{\mathcal{M}}}\left[\left(\frac{\partial u_{+}}{\partial x}\right)^{2}+\left(\frac{\partial u_{-}}{\partial x}\right)^{2}\right]\text{d}x, (16)

and

Einter(u+,u):=2V00acos(2π(1θ)a(δ0(x)+2u(x)))dx.E_{\text{inter}}(u_{+},u_{-}):=-2V_{0}\int_{0}^{a_{\mathcal{M}}}\!\cos\left(\frac{2\pi}{(1-\theta)a}\left(\delta_{0}(x)+\sqrt{2}u_{-}(x)\right)\right)\,\textrm{d}x. (17)

For this functional to reach its minimum, assuming smoothness of u+u_{+}, we need u+x=0\frac{\partial u_{+}}{\partial x}=0, which implies u+=constu_{+}=\text{const}. For simplicity, and without loss of generality, we set at this point u+=0u_{+}=0.

After these simplifications, the minimization problem to be solved becomes finding the minimizer u(x)u_{-}(x) for the functional

Etotal(u)=0a[κ2(ux)22V0cos(2π(1θ)a(δ0(x)+2u(x)))]dx.E_{\text{total}}(u_{-})=\int_{0}^{a_{\mathcal{M}}}\!\left[\frac{\kappa}{2}\left(\frac{\partial u_{-}}{\partial x}\right)^{2}-2V_{0}\cos\left(\frac{2\pi}{(1-\theta)a}\left(\delta_{0}(x)+\sqrt{2}u_{-}(x)\right)\right)\right]\,\textrm{d}x. (18)

For discussion of the mathematical well-posedness of this problem, see [5]. We computed minimizers by directly minimizing an appropriate numerical discretization of the functional. The results are shown in Section 3, while the numerical method is presented in full in Appendix A.

3 GSFE Model: Numerical results

In this section we discuss results of numerically computing minimizers for the GSFE functional (18) by the method described in detail in Appendix A.

Nam and Koshino [8] observed that the shape of the minimizer uu_{-} depends on the dimensionless parameter

η:=V0κaa.\eta:=\sqrt{\frac{V_{0}}{\kappa}}\frac{a_{\mathcal{M}}}{a}. (19)

When η\eta is small, we have a stiff lattice, weak interlayer interaction, or small moire period. When η\eta is large, we have a soft lattice, strong interlayer interaction, or large moire period. That this parameter controls the shape of minimizers comes out naturally from nondimensionalizing the model (18) in the same way that we nondimensionalize the atomistic model we introduce in Section 4. In fact, there we derive (51), which is exactly the nondimensionalization of (18).

We plot minimizers of (18) for different values of η\eta in Figure 2. We compare the unrelaxed and relaxed states of the system when η=3\eta=3 in Figure 3. We find results in agreement with those of Nam and Koshino [8] despite them using a different method where they iteratively solved the Euler-Lagrange equation.

Refer to caption
(a)
Refer to caption
(b)
Figure 2: (a) Relative displacement uu_{-} and (b) interlayer atomic shift δ\delta plotted against the position xx with η=3,1,0.3,and 0\eta=3,1,0.3,\text{and }0.
Refer to caption
(a)
Refer to caption
(b)
Figure 3: (a) Unrelaxed state (b) relaxed state with η=3\eta=3

4 Atomistic Model

In this section we present an alternative model of atomic relaxation based on interatomic potentials. We will show that the continuum GSFE energy functional approximates this model when aaa\ll a_{\mathcal{M}} and V0κV_{0}\ll\kappa while the dimensionless ratio η\eta (recall (19)) is held fixed.

4.1 Atomistic energy functional

We start by defining a natural energy functional for the bilayer system defined through interatomic potentials. For simplicity, we restrict attention to pair potentials. The approach here is influenced by [1].

Just as before, we assume the energy has the form

Etotal(u1,u2):=Eintra(u1,u2)+Einter(u1,u2).E_{\text{total}}(u_{1},u_{2}):=E_{\text{intra}}(u_{1},u_{2})+E_{\text{inter}}(u_{1},u_{2}). (20)

For EintraE_{\text{intra}}, we take

Eintra(u1,u2):=1Mi=1Mj=jiWintra(ai+u1(ai)aju1(aj))+1M+1i=1M+1j=jiWintra(a(1θ)i+u2(a(1θ)i)a(1θ)ju2(a(1θ)j)1θ),\begin{split}&E_{\text{intra}}(u_{1},u_{2}):=\\ &\frac{1}{M}\sum_{i=1}^{M}\sum_{\begin{subarray}{c}j=-\infty\\ j\neq i\end{subarray}}^{\infty}W_{\text{intra}}\left(ai+u_{1}(ai)-aj-u_{1}(aj)\right)\\ &+\frac{1}{M+1}\sum_{i=1}^{M+1}\sum_{\begin{subarray}{c}j=-\infty\\ j\neq i\end{subarray}}^{\infty}W_{\text{intra}}\left(\frac{a(1-\theta)i+u_{2}(a(1-\theta)i)-a(1-\theta)j-u_{2}(a(1-\theta)j)}{1-\theta}\right),\end{split} (21)

where WintraW_{\text{intra}} is an interatomic pair potential. Note that we assume periodic boundary conditions, so that we must allow for interactions between atoms within the moiré supercell and with their copies in all other cells. The sum over jj converges because of decay of WintraW_{\text{intra}}.

For EinterE_{\text{inter}}, we take

Einter(u1,u2):=1Mi=1Mj=Winter(ai+u1(ai)a(1θ)ju2(a(1θ)j)),\begin{split}&E_{\text{inter}}(u_{1},u_{2}):=\\ &\frac{1}{M}\sum_{i=1}^{M}\sum_{j=-\infty}^{\infty}W_{\text{inter}}\left(ai+u_{1}(ai)-a(1-\theta)j-u_{2}(a(1-\theta)j)\right),\end{split} (22)

where WinterW_{\text{inter}} is another interatomic pair potential. Again, since we assume that WinterW_{\text{inter}} decays, the sum over jj converges. We assume at this point that WintraW_{\text{intra}} and WinterW_{\text{inter}} are both even so that

Wintra(z)=Wintra(z),Winter(z)=Winter(z).W_{\text{intra}}(-z)=W_{\text{intra}}(z),\quad W_{\text{inter}}(-z)=W_{\text{inter}}(z). (23)

4.2 Length non-dimensionalization

We now nondimensionalize the model with respect to length. We introduce nondimensionalized displacement functions as

Ui(X):=a1ui(aX),i=1,2,U_{i}(X):=a^{-1}u_{i}(a_{\mathcal{M}}X),\quad i=1,2, (24)

and re-scale the interatomic potentials WintraW_{\text{intra}} and WinterW_{\text{inter}} as

W~intra(X):=Wintra(aX),W~inter(X):=Winter(aX).\tilde{W}_{\text{intra}}(X):=W_{\text{intra}}(aX),\quad\tilde{W}_{\text{inter}}(X):=W_{\text{inter}}(aX). (25)

With these scalings, the displacement functions UiU_{i} are now 11-periodic, and the intralayer energy becomes

Eintra(U1,U2)=1Mi=1Mj=jiW~intra(ij+U1(ϵi)U1(ϵj))+1M+1i=1M+1j=jiW~intra(ij+U2(ϵ(1θ)i)U2(ϵ(1θ)j)1θ),\begin{split}&E_{\text{intra}}(U_{1},U_{2})=\\ &\frac{1}{M}\sum_{i=1}^{M}\sum_{\begin{subarray}{c}j=-\infty\\ j\neq i\end{subarray}}^{\infty}\tilde{W}_{\text{intra}}\left(i-j+U_{1}(\epsilon i)-U_{1}(\epsilon j)\right)\\ &+\frac{1}{M+1}\sum_{i=1}^{M+1}\sum_{\begin{subarray}{c}j=-\infty\\ j\neq i\end{subarray}}^{\infty}\tilde{W}_{\text{intra}}\left(i-j+\frac{U_{2}(\epsilon(1-\theta)i)-U_{2}(\epsilon(1-\theta)j)}{1-\theta}\right),\end{split} (26)

where we introduce notation for the dimensionless length ratio

ϵ:=aa.\epsilon:=\frac{a}{a_{\mathcal{M}}}. (27)

Note that (3) implies that

ϵ=θ1θ\epsilon=\frac{\theta}{1-\theta} (28)

so that when we take ϵ0\epsilon\downarrow 0 below we must take θ0\theta\downarrow 0 with ϵθ\epsilon\sim\theta as ϵ0\epsilon\downarrow 0 as well. The interlayer energy becomes

Einter(U1,U2)=1Mi=1Mj=W~inter(i(1θ)j+U1(ϵi)U2(ϵ(1θ)j)).\begin{split}&E_{\text{inter}}(U_{1},U_{2})=\\ &\frac{1}{M}\sum_{i=1}^{M}\sum_{j=-\infty}^{\infty}\tilde{W}_{\text{inter}}\left(i-(1-\theta)j+U_{1}(\epsilon i)-U_{2}(\epsilon(1-\theta)j)\right).\end{split} (29)

We have not non-dimensionalized with respect to energy yet: both W~intra\tilde{W}_{\text{intra}} and W~inter\tilde{W}_{\text{inter}} still carry units of energy. We postpone this until we have simplified the model further.

4.3 Simplification and continuum limit of the energy functional

We now simplify the energy functional and take its continuum limit, an approximation which should be valid in the limit ϵ0\epsilon\downarrow 0. Recalling (4), this is equivalent to taking the limit a0a\downarrow 0 and MM\rightarrow\infty at fixed aa_{\mathcal{M}}.

Before taking the limit, note that by re-defining jj and using (23) the intralayer energy can be re-written as

Eintra(U1,U2)=1Mi=1Mj=j0W~intra(j+U1(ϵi+ϵj)U1(ϵi))+1M+1i=1M+1j=j0W~intra(j+U2(ϵ(1θ)i+ϵ(1θ)j)U2(ϵ(1θ)i)1θ).\begin{split}&E_{\text{intra}}(U_{1},U_{2})=\\ &\frac{1}{M}\sum_{i=1}^{M}\sum_{\begin{subarray}{c}j=-\infty\\ j\neq 0\end{subarray}}^{\infty}\tilde{W}_{\text{intra}}\left(j+U_{1}(\epsilon i+\epsilon j)-U_{1}(\epsilon i)\right)\\ &+\frac{1}{M+1}\sum_{i=1}^{M+1}\sum_{\begin{subarray}{c}j=-\infty\\ j\neq 0\end{subarray}}^{\infty}\tilde{W}_{\text{intra}}\left(j+\frac{U_{2}(\epsilon(1-\theta)i+\epsilon(1-\theta)j)-U_{2}(\epsilon(1-\theta)i)}{1-\theta}\right).\end{split} (30)

Taking the limit, assuming smoothness of the integrands, both sums over ii converge to integrals from 0 to 11 as

01j=jiW~intra(j+U1(X+ϵj)U1(X))dX+01j=jiW~intra(j+U2(X+ϵ(1θ)j)U2(X)1θ)dX.\begin{split}&\int_{0}^{1}\!\sum_{\begin{subarray}{c}j=-\infty\\ j\neq i\end{subarray}}^{\infty}\tilde{W}_{\text{intra}}\left(j+U_{1}(X+\epsilon j)-U_{1}(X)\right)\,\textrm{d}X\\ &+\int_{0}^{1}\!\sum_{\begin{subarray}{c}j=-\infty\\ j\neq i\end{subarray}}^{\infty}\tilde{W}_{\text{intra}}\left(j+\frac{U_{2}(X+\epsilon(1-\theta)j)-U_{2}(X)}{1-\theta}\right)\,\textrm{d}X.\end{split} (31)

We can further approximate the energy functional by Taylor-expanding the UiU_{i}s in powers of ϵ\epsilon and keeping only the leading terms as

01W~CB(ϵXU1(X))+W~CB(ϵXU2(X))dX,\int_{0}^{1}\!\tilde{W}_{\text{CB}}\left(\epsilon\partial_{X}U_{1}(X)\right)+\tilde{W}_{\text{CB}}\left(\epsilon\partial_{X}U_{2}(X)\right)\,\textrm{d}X, (32)

where

W~CB(z):=j=jiW~intra(j(1+z))\tilde{W}_{\text{CB}}(z):=\sum_{\begin{subarray}{c}j=-\infty\\ j\neq i\end{subarray}}^{\infty}\tilde{W}_{\text{intra}}\left(j(1+z)\right) (33)

is the Cauchy-Born energy density. We can then further approximate by Taylor-expanding W~CB\tilde{W}_{\text{CB}} in powers of ϵXUi\epsilon\partial_{X}U_{i}. Assuming that constant displacement is a non-degenerate minimizer for W~CB\tilde{W}_{\text{CB}}, we have

W~CB(z)=W~CB(0)+κ~z22+o(z2)z0,\tilde{W}_{\text{CB}}(z)=\tilde{W}_{\text{CB}}(0)+\frac{\tilde{\kappa}z^{2}}{2}+o(z^{2})\quad z\downarrow 0, (34)

where κ~:=z2W~CB(0)\tilde{\kappa}:=\partial_{z}^{2}\tilde{W}_{\text{CB}}(0) again characterizes the stiffness of the lattices. Since its value does not affect the form of minimizers, we at this point set W~CB(0)=0\tilde{W}_{\text{CB}}(0)=0 without loss of generality. We arrive at the approximation

Eintra(U1,U2)κ~ϵ2201[(U1X)2+(U2X)2]dX.E_{\text{intra}}(U_{1},U_{2})\approx\frac{\tilde{\kappa}\epsilon^{2}}{2}\int_{0}^{1}\!\left[\left(\frac{\partial U_{1}}{\partial X}\right)^{2}+\left(\frac{\partial U_{2}}{\partial X}\right)^{2}\right]\,\textrm{d}X. (35)

We claim that the derivation leading to (35) provides a microscopic justification of the linear elasticity energy (10) introduced in the GSFE model. To see this, note that upon inverting the transformation (24) and setting111To see why this makes sense, note that κ\kappa is defined as an energy per unit length, while κ~\tilde{\kappa} is defined through the derivative of an energy with respect to a nondimensionalized length and hence has units only of energy. κ~=aκ\tilde{\kappa}=a_{\mathcal{M}}\kappa, we obtain exactly (10).

We now consider the interlayer energy. Again, by re-defining jj, this energy can be re-written as

Einter(U1,U2)=1Mi=1Mj=W~inter(θi(1θ)j+U1(ϵi)U2(ϵ(1θ)(i+j))).\begin{split}&E_{\text{inter}}(U_{1},U_{2})=\\ &\frac{1}{M}\sum_{i=1}^{M}\sum_{j=-\infty}^{\infty}\tilde{W}_{\text{inter}}\left(\theta i-(1-\theta)j+U_{1}(\epsilon i)-U_{2}(\epsilon(1-\theta)(i+j))\right).\end{split} (36)

In order to take the continuum limit we write everything in terms of the variable ϵi\epsilon i, so that

θi=θϵϵi.\theta i=\frac{\theta}{\epsilon}\epsilon i. (37)

Recalling (3) and (27), we have that

θϵϵi=(1θ)ϵi.\frac{\theta}{\epsilon}\epsilon i=(1-\theta)\epsilon i. (38)

Substituting this and taking the continuum limit we obtain

01j=W~inter((1θ)X(1θ)j+U1(X)U2((1θ)X+ϵ(1θ)j)))dX.\int_{0}^{1}\!\sum_{j=-\infty}^{\infty}\tilde{W}_{\text{inter}}\left((1-\theta)X-(1-\theta)j+U_{1}(X)-U_{2}((1-\theta)X+\epsilon(1-\theta)j))\right)\,\textrm{d}X. (39)

Just as with the intralayer energy, we expand U2U_{2} in powers of ϵ\epsilon and keep only the leading term. This yields

01V~((1θ)X+U1(X)U2((1θ)X)))dX,\int_{0}^{1}\!\tilde{V}\left((1-\theta)X+U_{1}(X)-U_{2}((1-\theta)X))\right)\,\textrm{d}X, (40)

where we have introduced the (1θ)(1-\theta)-periodic stacking energy

V~(z):=j=W~inter(z(1θ)j).\tilde{V}(z):=\sum_{j=-\infty}^{\infty}\tilde{W}_{\text{inter}}\left(z-(1-\theta)j\right). (41)

Finally, we use smallness of θ\theta to Taylor-expand U2U_{2}, to arrive at

01V~((1θ)X+U1(X)U2(X)))dX.\int_{0}^{1}\!\tilde{V}\left((1-\theta)X+U_{1}(X)-U_{2}(X))\right)\,\textrm{d}X. (42)

We now claim that the derivation of (42) above provides a microscopic justification of (11). First, note that inverting the transformation (24) and setting222Here we multiply by aa_{\mathcal{M}} for the same reason as when relating κ\kappa and κ~\tilde{\kappa}.

V~(X)=aV(aX),\tilde{V}(X)=a_{\mathcal{M}}V(aX), (43)

the energy (42) becomes

a01V((1θ)aX+u1(X)u2(X)))dX.a_{\mathcal{M}}\int_{0}^{1}\!V\left((1-\theta)aX+u_{1}(X)-u_{2}(X))\right)\,\textrm{d}X. (44)

Changing variables in the integral as x=aXx=a_{\mathcal{M}}X, after recognizing (3) that θ=a(1θ)a\theta=\frac{a(1-\theta)}{a_{\mathcal{M}}}, yields

0aV(θx+u1(x)u2(x)))dx,\int_{0}^{a_{\mathcal{M}}}\!V\left(\theta x+u_{1}(x)-u_{2}(x))\right)\,\textrm{d}x, (45)

which is exactly (11). Note that (1θ)(1-\theta)-periodicity of V~\tilde{V} is exactly consistent with the (1θ)a(1-\theta)a-periodicity of VV.

We note further that, at the cost of additional error proportional to θ\theta, we can simplify (42) to

01V~(X+U1(X)U2(X)))dX,\int_{0}^{1}\!\tilde{V}\left(X+U_{1}(X)-U_{2}(X))\right)\,\textrm{d}X, (46)

where V~\tilde{V} is 11-periodic. If we also simplify V~\tilde{V} to the form of a single sinusoid as we did for the GSFE model we obtain the approximation

Einter(U1,U2)2V~001cos(2π(X+U1(X)U2(X))))dX,E_{\text{inter}}(U_{1},U_{2})\approx-2\tilde{V}_{0}\int_{0}^{1}\!\cos\left(2\pi\left(X+U_{1}(X)-U_{2}(X))\right)\right)\,\textrm{d}X, (47)

where V~0:=aV0\tilde{V}_{0}:=a_{\mathcal{M}}V_{0}.

Remark.

We expect that all of the simplifications made so far can be made rigorous under general smoothness and decay assumptions on the pair potentials WintraW_{\text{\emph{intra}}} and WinterW_{\text{\emph{inter}}}, with the exception of replacing V~\tilde{V} by a single sinusoid. However, a more careful analysis may show that this simplification can also be made rigorous because of an effect where interlayer interactions are smoothed out by the interlayer distance and thus have rapidly decaying Fourier transforms. This effect is important in the derivation of the Bistritzer-MacDonald model of twisted bilayer graphene’s electronic properties [9].

To summarize the results of this section, we have obtained an approximation of the atomistic energy functional as the sum of (35) and (47). Just as we did with the GSFE model, it is natural to write the functional as a function of new unknowns

U+(x):=U1(x)+U2(x)2,U(x):=U1(x)U2(x)2,U_{+}(x):=\frac{U_{1}(x)+U_{2}(x)}{\sqrt{2}},\quad U_{-}(x):=\frac{U_{1}(x)-U_{2}(x)}{\sqrt{2}}, (48)

and set (WLOG) U+=0U_{+}=0. We thus derive an approximation of the atomistic energy functional depending only on UU_{-} as

Etotal(U)01[ϵ2κ~2(UX)22V~0cos(2π(X+2U(X)))]dX,E_{\text{total}}(U_{-})\approx\int_{0}^{1}\!\left[\frac{\epsilon^{2}\tilde{\kappa}}{2}\left(\frac{\partial U_{-}}{\partial X}\right)^{2}-2\tilde{V}_{0}\cos\left(2\pi\left(X+\sqrt{2}U_{-}(X)\right)\right)\right]\,\textrm{d}X, (49)

which is nothing but a partially nondimensionalized version of (18).

4.4 Energy non-dimensionalization

After the simplifications made in the previous section, we have that the intralayer part of the functional (49) depends only on the energy scale κ~=κa\tilde{\kappa}=\kappa a_{\mathcal{M}}, while the interlayer part depends only on the energy scale V~0=V0a\tilde{V}_{0}=V_{0}a_{\mathcal{M}}. It is natural then to non-dimensionalize with respect to energy by introducing the dimensionless energy

E~total:=EtotalV~0.\tilde{E}_{\text{total}}:=\frac{E_{\text{total}}}{\tilde{V}_{0}}. (50)

We thus arrive at the fully nondimensionalized model

E~total(U)01[ϵ22δ(UX)22cos(2π(X+2U(X)))]dX,\tilde{E}_{\text{total}}(U_{-})\approx\int_{0}^{1}\!\left[\frac{\epsilon^{2}}{2\delta}\left(\frac{\partial U_{-}}{\partial X}\right)^{2}-2\cos\left(2\pi\left(X+\sqrt{2}U_{-}(X)\right)\right)\right]\,\textrm{d}X, (51)

where we have introduced notation for the dimensionless energy ratio

δ:=V~0κ~=V0κ.\delta:=\frac{\tilde{V}_{0}}{\tilde{\kappa}}=\frac{V_{0}}{\kappa}. (52)

It is clear that to have a model where the intralayer and interlayer terms balance in the limit ϵ0\epsilon\downarrow 0, i.e., where neither term is asymptotically larger in this limit, we require that δ0\delta\downarrow 0 in such a way that the dimensionless ratio

η:=δϵ=V0κaa,\eta:=\frac{\sqrt{\delta}}{\epsilon}=\sqrt{\frac{V_{0}}{\kappa}}\frac{a_{\mathcal{M}}}{a}, (53)

remains fixed. The form of minimizers in the limit, moreover, depends only on the value of η\eta as the limit is taken. This justifies Nam and Koshino’s observation [8] that minimizers of the GSFE model depend only on the value of this parameter; recall (19).

It is interesting to again consider physical values of ϵ\epsilon and δ\delta and check whether, for example, twisted bilayer graphene at the magic angle is in this regime. Recall that there we have a.25a\approx.25 nm, and θ1501.1\theta\approx\frac{1}{50}\approx 1.1^{\circ}. We can then estimate

ϵ=aa.2550(.25)=150=0.02.\epsilon=\frac{a}{a_{\mathcal{M}}}\approx\frac{.25}{50(.25)}=\frac{1}{50}=0.02. (54)

As for the energy scales, we have κ50,000\kappa\approx 50,000 meV per unit area, and V020V_{0}\approx 20 meV per unit area [4]. We thus have

δ=V0κ2050,000=12500=0.0004,\delta=\frac{V_{0}}{\kappa}\approx\frac{20}{50,000}=\frac{1}{2500}=0.0004, (55)

so that, remarkably,

η1\eta\approx 1 (56)

in twisted bilayer graphene. We conclude that, for twisted bilayer graphene near the magic angle, (18) can indeed be expected to be a good model.

References

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Appendix A GSFE Model: Numerical Method

We aim to find the minimizer u(x)u_{-}(x) for the functional

Eintra+Einter=0a12k(xu)22V0cos(2πa(δ0(x)+u(x)))dx.E_{\mathrm{intra}}+E_{\mathrm{inter}}=\int_{0}^{a_{\mathcal{M}}}\frac{1}{2}k\left(\partial_{x}u_{-}\right)^{2}-2V_{0}\cos\left(\frac{2\pi}{a}(\delta_{0}(x)+u_{-}(x))\right)\text{d}x.

First we discretize the region [0,a][0,a_{\mathcal{M}}] by taking n=0,1,,Nn=0,1,\dots,N\in\mathbb{N} and define Δx:=aN\Delta x:=\frac{a_{\mathcal{M}}}{N} and xn:=nΔxx_{n}:=n\Delta x. Now we can discretize u(x)u_{-}(x) and define un:=u(xn)u_{-n}:=u_{-}({x_{n}}). The central difference method can be used to approximate ux\frac{\partial u_{-}}{\partial x}. Then the total energy can be approximated with the following Riemann sum,

Eintra+Eintern=0N1[12k(u(n+1)u(n1)2Δx)22V0cos(2πnN+2πaun)]Δx.\begin{split}&E_{\mathrm{intra}}+E_{\mathrm{inter}}\approx\\ &\sum_{n=0}^{N-1}\left[\frac{1}{2}k\left(\frac{u_{-(n+1)}-u_{-(n-1)}}{2\Delta x}\right)^{2}-2V_{0}\cos\left(\frac{2\pi n}{N}+\frac{2\pi}{a}u_{-n}\right)\right]\Delta x.\end{split} (57)

We assume that the superlattice remains periodic with moiré length aa_{\mathcal{M}}. We impose periodic boundary conditions that u1=u(N1)u_{-1}=u_{-(N-1)}, u0=uNu_{-0}=u_{-N}, and so on. Now the minimization problem becomes finding the vector 𝐮:=(u0,u1,,u(N1))T\mathbf{u_{-}}:=(u_{-0},u_{-1},\dots,u_{-(N-1)})^{T} that minimizes equation (LABEL:sum). We can use the limited-memory BFGS algorithm to find the minimizer 𝐮\mathbf{u_{-}}. To use the Limited-memory BFGS algorithm, we need to compute the gradient of equation (LABEL:sum). The nnth term of the gradient is

(Eintra+Einter)n=k4Δx(2unu(n2)u(n+2))+4πaV0sin(2πnN+2πaun)Δx.\begin{split}&\nabla(E_{\mathrm{intra}}+E_{\mathrm{inter}})_{n}=\\ &\frac{k}{4\Delta x}\left(2u_{-n}-u_{-(n-2)}-u_{-(n+2)}\right)+\frac{4\pi}{a}V_{0}\sin\left(\frac{2\pi n}{N}+\frac{2\pi}{a}u_{-n}\right)\Delta x.\end{split} (58)

We implemented this approach in the Python language on Google Colab using the function scipy.optimize.fmin_l_bfgs_b in the SciPy package to numerically minimize the total energy.