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How to verify the precision of density-functional-theory implementations via reproducible and universal workflows

Authors :
Bosoni, Emanuele
Beal, Louis
Bercx, Marnik
Blaha, Peter
Blügel, Stefan
Bröder, Jens
Callsen, Martin
Cottenier, Stefaan
Degomme, Augustin
Dikan, Vladimir
Eimre, Kristjan
Flage-Larsen, Espen
Fornari, Marco
Garcia, Alberto
Genovese, Luigi
Giantomassi, Matteo
Huber, Sebastiaan P.
Janssen, Henning
Kastlunger, Georg
Krack, Matthias
Kresse, Georg
Kühne, Thomas D.
Lejaeghere, Kurt
Madsen, Georg K. H.
Marsman, Martijn
Marzari, Nicola
Michalicek, Gregor
Mirhosseini, Hossein
Müller, Tiziano M. A.
Petretto, Guido
Pickard, Chris J.
Poncé, Samuel
Rignanese, Gian-Marco
Rubel, Oleg
Ruh, Thomas
Sluydts, Michael
Vanpoucke, Danny E. P.
Vijay, Sudarshan
Wolloch, Michael
Wortmann, Daniel
Yakutovich, Aliaksandr V.
Yu, Jusong
Zadoks, Austin
Zhu, Bonan
Pizzi, Giovanni
Source :
Nat. Rev. Phys. 6, 45 (2024)
Publication Year :
2023

Abstract

In the past decades many density-functional theory methods and codes adopting periodic boundary conditions have been developed and are now extensively used in condensed matter physics and materials science research. Only in 2016, however, their precision (i.e., to which extent properties computed with different codes agree among each other) was systematically assessed on elemental crystals: a first crucial step to evaluate the reliability of such computations. We discuss here general recommendations for verification studies aiming at further testing precision and transferability of density-functional-theory computational approaches and codes. We illustrate such recommendations using a greatly expanded protocol covering the whole periodic table from Z=1 to 96 and characterizing 10 prototypical cubic compounds for each element: 4 unaries and 6 oxides, spanning a wide range of coordination numbers and oxidation states. The primary outcome is a reference dataset of 960 equations of state cross-checked between two all-electron codes, then used to verify and improve nine pseudopotential-based approaches. Such effort is facilitated by deploying AiiDA common workflows that perform automatic input parameter selection, provide identical input/output interfaces across codes, and ensure full reproducibility. Finally, we discuss the extent to which the current results for total energies can be reused for different goals (e.g., obtaining formation energies).<br />Comment: Main text: 23 pages, 4 figures. Supplementary: 68 pages. Nature Review Physics 2023

Details

Database :
arXiv
Journal :
Nat. Rev. Phys. 6, 45 (2024)
Publication Type :
Report
Accession number :
edsarx.2305.17274
Document Type :
Working Paper
Full Text :
https://doi.org/10.1038/s42254-023-00655-3