Abstract

Electronic structure calculations in the framework of density functional theory are based on complex numerical codes which are used in a multitude of applications. Frequently, existing experimental information is used as a gauge for the reliability of such codes. However, their results depend both on the chosen exchange-correlation energy functional and on the specific numerical implementation of the Kohn-Sham equations. The only way to disentangle these two items is a direct comparison of two or more electronic structure codes. Here, we address the achievable numerical accuracy and numerical precision in the total energy computation of the two all-electron density-functional codes Wien2k and FPLO. Both codes are based on almost independent numerical implementations and largely differ in the representation of the Bloch wave function. Thus, it is a highly encouraging result that the total energy data obtained with both codes agree within less than 10−6. We here relate the term numerical accuracy to the value of the total energy E, while the term numerical precision is related to the numerical noise of E as observed in total energy derivatives. We find that Wien2k achieves a slightly higher accuracy than FPLO at the price of a larger numerical effort. Further, we demonstrate that the FPLO code shows somewhat higher precision, i.e., less numerical noise in E than Wien2k, which is useful for the evaluation of physical properties based on derivatives of E.

Highlights

  • Computations of electronic structure provide an important input to research in physics, chemistry, and materials science, and density functional theory (DFT) is behind a major part of such computations

  • The density of states (DOS), g, is a primary quantity obtained in any electronic structure calculation on extended systems

  • We focus on the DOS at the Fermi level g(eF)

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Summary

Introduction

Computations of electronic structure provide an important input to research in physics, chemistry, and materials science, and density functional theory (DFT) is behind a major part of such computations. A second but not less important ingredient to DFT applications consists in the development and verification of numerical electronic structure codes. A large number of codes has been developed in past decades by independent teams These codes partly rely on completely different approximations for, e.g., the representation of the wave function. We mention standard algebra routines that are frequently taken from common software packages and methods for k-space integrations The latter are usually implemented independently in each code but may lead to method-specific convergence behavior with the number of k-points

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