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Accuracy and Precision in Electronic Structure Computation: Wien2k and FPLO

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Kim,  Seo-Jin
Physics of Quantum Materials, Max Planck Institute for Chemical Physics of Solids, Max Planck Society;

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Rosner,  Helge
Physics of Quantum Materials, Max Planck Institute for Chemical Physics of Solids, Max Planck Society;

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Citation

Richter, M., Kim, S.-J., Koepernik, K., Rosner, H., & Möbius, A. (2022). Accuracy and Precision in Electronic Structure Computation: Wien2k and FPLO. Computation, 10(2): 28, pp. 1-16. doi:10.3390/computation10020028.


Cite as: https://hdl.handle.net/21.11116/0000-000A-9503-A
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. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.