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A perturbation-method-based post-processing for the planewave discretization of Kohn–Sham models

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Abstract

In this article, we propose a post-processing of the planewave solution of the Kohn–Sham LDA model with pseudopotentials. This post-processing is based upon the fact that the exact solution can be interpreted as a perturbation of the approximate solution, allowing us to compute corrections for both the eigenfunctions and the eigenvalues of the problem in order to increase the accuracy. Indeed, this post-processing only requires the computation of the residual of the solution on a finer grid so that the additional computational cost is negligible compared to the initial cost of the planewave-based method needed to compute the approximate solution. Theoretical estimates certify an increased convergence rate in the asymptotic convergence range. Numerical results confirm the low computational cost of the post-processing and show that this procedure improves the energy accuracy of the solution even in the pre-asymptotic regime which comprises the target accuracy of practitioners.

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... many-particle interactions in a given approximation. More recently, a post-processing strategy has been proposed by some authors for planewave discretizations for non-linear eigenvalue problems [8,9,7,11], which considers the exact solution as a perturbation of the discrete (using the planewave basis) approximation. This is in spirit not so far from so-called two-grid methods, where a first problem is solved on a coarse basis, i.e. in a small discretization space, and a small problem is solved on a fine basis. ...
... These considerations motivate the numerical strategies to compute solutions to (9) in the following section. ...
... ). The limit value λ σ := lim k→∞ λ (k) σ then satisfies λ σ = ν σi (λ σ ) and thus (9). Strategy 2: For a given target value λ t ∈ R, consider the sequence of iterates λ ...
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In this article, we propose a new numerical method and its analysis to solve eigen-value problems for self-adjoint Schr{\"o}dinger operators, by combining the Feshbach-Schur perturbation theory with planewave discretization. In order to analyze the method, we establish an abstract framework of Feshbach-Schur perturbation theory with minimal regularity assumptions on the potential that is then applied to the setting of the new planewave discretization method. Finally, we present some numerical results that underline the theoretical findings.
... This correction improves the convergence rate by a factor 1 M . Other approaches dealing directly (see [7,8]) or indirectly (e.g. using pseudopotentials [3,5]) with the Coulomb singularities exist and are more efficient. ...
... Let ψ i be the corresponding eigenfunction such that (1.7) holds. Then for s < 5 2 and all ε > 0, we have a positive constant C s,ε independent of M such that ...
Article
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In solid-state physics, energies of molecular systems are usually computed with a plane-wave discretization of Kohn–Sham equations. A priori estimates of plane-wave convergence for periodic Kohn–Sham calculations with pseudopotentials have been proved, however in most computations in practice, plane-wave cut-offs are not tight enough to target the desired accuracy. It is often advocated that the real quantity of interest is not the value of the energy but of energy differences for different configurations. The computed energy difference is believed to be much more accurate because of “discretization error cancellation”, since the sources of numerical errors are essentially the same for different configurations. In the present work, we focused on periodic linear Hamiltonians with Coulomb potentials where error cancellation can be explained by the universality of the Kato cusp condition. Using weighted Sobolev spaces, Taylor-type expansions of the eigenfunctions are available yielding a precise characterization of this singularity. This then gives an explicit formula of the first order term of the decay of the Fourier coefficients of the eigenfunctions. As a consequence, the error on the difference of discretized eigenvalues for different configurations is indeed reduced by an explicit factor. However, this error converges at the same rate as the error on the eigenvalue. Plane-wave methods for periodic Hamiltonians with Coulomb potentials are thus still inefficient to compute energy differences.
... [44] for the Hartree-Fock equations. For Kohn-Sham DFT, practical, not guaranteed, error bounds on the energy and the density matrix have been proposed for various discretization methods, notably planewave [8,22], and finite elements [19,41,46,60,61]. Let us also mention the recent work [7], which includes practical bounds on quantities of interest other than the energy and the density matrix, such as the interatomic forces. ...
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... A second example, which is covered by this paper, is the Kohn-Sham model [23] and, in particular, the model based on the density functional theory [19]. This theory allows a reduction of the degrees of freedom, leading to a model which balances accuracy and computational cost, see also [11,12,36] for a more detailed introduction. ...
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This paper addresses the numerical solution of nonlinear eigenvector problems such as the Gross-Pitaevskii and Kohn-Sham equation arising in computational physics and chemistry. These problems characterize critical points of energy minimization problems on the infinite-dimensional Stiefel manifold. To efficiently compute minimizers, we propose a novel Riemannian gradient descent method induced by an energyadaptive metric. Quantified convergence of the methods is established under suitable assumptions on the underlying problem. A non-monotone line search and the inexact evaluation of Riemannian gradients substantially improve the overall efficiency of the method. Numerical experiments illustrate the performance of the method and demonstrates its competitiveness with well-established schemes.
... [3,4,10]. In particular, [14] provides post-processing algorithms based on a perturbation method which is related to the discussion of this section. ...
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We propose an adaptive planewave method for eigenvalue problems in electronic structure calculations. The method combines a priori convergence rates and accurate a posteriori error estimates into an effective way of updating the energy cut-off for planewave discretizations, for both linear and nonlinear eigenvalue problems. The method is error controllable for linear eigenvalue problems in the sense that for a given required accuracy, an energy cut-off for which the solution matches the target accuracy can be reached efficiently. Further, the method is particularly promising for nonlinear eigenvalue problems in electronic structure calculations as it shall reduce the cost of early iterations in self-consistent algorithms. We present some numerical experiments for both linear and nonlinear eigenvalue problems. In particular, we provide electronic structure calculations for some insulator and metallic systems simulated with Kohn--Sham density functional theory (DFT) and the projector augmented wave (PAW) method, illustrating the efficiency and potential of the algorithm.
... Despite this, significant progress has been made in the past decade towards rigorous error control, which makes this perspective realistic in the medium term. Let us mention in particular recent works on a priori and a posteriori discretization error bounds for DFT [7][8][9][10][11][12][13], including k-point sampling [14], and on the numerical analysis of SCF algorithms [15][16][17][18]. ...
Preprint
We address the problem of bounding rigorously the errors in the numerical solution of the Kohn-Sham equations due to (i) the finiteness of the basis set, (ii) the convergence thresholds in iterative procedures, (iii) the propagation of rounding errors in floating-point arithmetic. In this contribution, we compute fully-guaranteed bounds on the solution of the non-self-consistent equations in the pseudopotential approximation in a plane-wave basis set. We demonstrate our methodology by providing band structure diagrams of silicon annotated with error bars indicating the combined error.
... A priori discretization error estimates have been constructed in 4 for planewave basis sets, and then in 5 for more general variational discretization methods. A posteriori error estimators of the discretization error have been proposed in [6][7][8] . A combined study of both the discretization and algorithmic errors was published in 9 (see also 10 ). ...
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It is often claimed that error cancellation plays an essential role in quantum chemistry and first-principle simulation for condensed matter physics and materials science. Indeed, while the energy of a large, or even medium-size, molecular system cannot be estimated numerically within chemical accuracy (typically 1 kcal/mol or 1 mHa), it is considered that the energy difference between two configurations of the same system can be computed in practice within the desired accuracy. The purpose of this paper is to provide a quantitative study of discretization error cancellation. The latter is the error component due to the fact that the model used in the calculation (e.g. Kohn-Sham LDA) must be discretized in a finite basis set to be solved by a computer. We first report comprehensive numerical simulations performed with Abinit on two simple chemical systems, the hydrogen molecule on the one hand, and a system consisting of two oxygen atoms and four hydrogen atoms on the other hand. We observe that errors on energy differences are indeed significantly smaller than errors on energies, but that these two quantities asymptotically converge at the same rate when the energy cut-off goes to infinity. We then analyze a simple one-dimensional periodic Schr\"odinger equation with Dirac potentials, for which analytic solutions are available. This allows us to explain the discretization error cancellation phenomenon on this test case with quantitative mathematical arguments.
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In this article, we propose a new numerical method and its analysis to solve eigenvalue problems for self-adjoint Schrödinger operators, by combining the Feshbach–Schur perturbation theory with the spectral Fourier discretization. In order to analyze the method, we establish an abstract framework of Feshbach–Schur perturbation theory with minimal regularity assumptions on the potential that is then applied to the setting of the new spectral Fourier discretization method. Finally, we present some numerical results that underline the theoretical findings.
Chapter
Most electronic structure models, such as Hartree-Fock, Kohn-Sham, coupled-cluster, multi-configuration self-consistent field (MCSCF), or GW, are originally set in infinite-dimensional function spaces, and need to be discretized in order to be solved on a computer. The errors on the physical quantities of interest resulting from this approximation are called discretization errors, and can be studied using modern tools of numerical analysis. This chapter is a pedagogical introduction to discretization error analysis. The fundamental concepts of variational approximation, a priori and a posteriori error estimators, post-processing, asymptotic expansions, and extrapolation are introduced in a general framework. To avoid unnecessary technicalities, they are illustrated on the example of the plane-wave discretization of the periodic Gross-Pitaevskii model for Bose-Einstein condensates. This model shares many common features with the Hartree-Fock and Kohn-Sham models, while being mathematically simpler. Extensions to Kohn-Sham models are discussed.
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In this article, we provide a priori estimates for a perturbation-based post-processing method of the plane-wave approximation of nonlinear Kohn–Sham local density approximation (LDA) models with pseudopotentials, relying on Cancès et al. (2020, Post-processing of the plane-wave approximation of Schrödinger equations. Part I: linear operators. IMA Journal of Numerical Analysis, draa044) for the proofs of such estimates in the case of linear Schrödinger equations. As in Cancès et al. (2016, A perturbation-method-based post-processing for the plane-wave discretization of Kohn–Sham models. J. Comput. Phys., 307, 446–459), where these a priori results were announced and tested numerically, we use a periodic setting and the problem is discretized with plane waves (Fourier series). This post-processing method consists of performing a full computation in a coarse plane-wave basis and then to compute corrections based on the first-order perturbation theory in a fine basis, which numerically only requires the computation of the residuals of the ground-state orbitals in the fine basis. We show that this procedure asymptotically improves the accuracy of two quantities of interest: the ground-state density matrix, i.e. the orthogonal projector on the lowest N eigenvectors, and the ground-state energy.
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When perturbation theory is applied to a quantity for which a variational principle holds (eigenenergies of Hamiltonian, Hartree-Fock or density-functional-theory, etc.), different variation-perturbation theorems can be derived. A general demonstration of the existence of variational principles for an even order of perturbation, when constraints are present, is provided here. Explicit formulas for these variational principles for even orders of perturbation, as well as for the ‘‘2n+1 theorem,’’ to any order of perturbation, with or without constraints, are also exhibited. This approach is applied to the case of eigenenergies of quantum-mechanical Hamiltonians, studied previously by other methods.
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A method for calculating approximately the coupling energy of weakly interacting fragments is presented. The method is a simplified version of the density-functional scheme of Kohn and Sham and is applicable whenever the electron density of the coupled fragments does not deviate too markedly from a sum of isolated fragment densities. The coupling energy is expressed directly in terms of properties of the isolated fragments and the only nontrivial computational step is the determination of an eigenvalue sum for the coupled system with a fixed potential. Neither self-consistency cycling nor a solution of Poisson’s equation for the coupled fragments is required. The method is therefore particularly appropriate when full density-functional calculations are tractable for the isolated fragments but difficult for the coupled system, e.g., a molecule interacting with a surface. Explicit calculations for dimers illustrate that the approach is very accurate for weakly interacting systems, and that reasonable results can be obtained even for strong covalent bonds.
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Universal variational functionals of densities, first-order density matrices, and natural spin-orbitals are explicitly displayed for variational calculations of ground states of interacting electrons in atoms, molecules, and solids. In all cases, the functionals search for constrained minima. In particular, following Percus [Formula: see text] is identified as the universal functional of Hohenberg and Kohn for the sum of the kinetic and electron-electron repulsion energies of an N-representable trial electron density rho. Q[rho] searches all antisymmetric wavefunctions Psi(rho) which yield the fixed. rho. Q[rho] then delivers that expectation value which is a minimum. Similarly, [Formula: see text] is shown to be the universal functional for the electron-electron repulsion energy of an N-representable trial first-order density matrix gamma, where the actual external potential may be nonlocal as well as local. These universal functions do not require that a trial function for a variational calculation be associated with a ground state of some external potential. Thus, the v-representability problem, which is especially severe for trial first-order density matrices, has been solved. Universal variational functionals in Hartree-Fock and other restricted wavefunction theories are also presented. Finally, natural spin-orbital functional theory is compared with traditional orbital formulations in density functional theory.
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