Putting error bars on density functional theory

• Published in: Scientific reports 2024-08, Vol.14 (1), p.20219-12, Article 20219
• Main Authors: Yuk, Simuck F., Sargin, Irmak, Meyer, Noah, Krogel, Jaron T., Beckman, Scott P., Cooper, Valentino R.
• Format: Article
• Language: English
• Subjects: 639/301/119/1002; 639/301/119/995; Accuracy; Approximation; Elastic properties; electronic properties and materials; High-throughput screening; Humanities and Social Sciences; Hybridization; Informatics; Machine learning; multidisciplinary; Science; Science (multidisciplinary); Statistical analysis; structure of solids and liquids
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-024-69194-w

Predicting the error in density functional theory (DFT) calculations due to the choice of exchange–correlation (XC) functional is crucial to the success of DFT, but currently, there are limited options to estimate this a priori. This is particularly important for high-throughput screening of new materials. In this work, the structure and elastic properties of binary and ternary oxides are computed using four XC functionals: LDA, PBE-GGA, PBEsol, and vdW-DF with C09 exchange. To analyze the systemic errors inherent to each XC functional, we employed materials informatics methods to predict the expected errors. The predicted errors were also used to better the DFT-predicted lattice parameters. Our results emphasize the link between the computed errors and the electron density and hybridization errors of a functional. In essence, these results provide “error bars” for choosing a functional for the creation of high-accuracy, high-throughput datasets as well as avenues for the development of XC functionals with enhanced performance, thereby enabling the accelerated discovery and design of new materials.