Advances at the Intersection of Density Functional Theory and Artificial Intelligence
20 November, 2025
This Collection offers an early glimpse into how artificial intelligence and machine learning can further unlock the potential of density functional theory, a highly successful computational method with broad applications.
4 May, 2026
Filipe C. Thewes, Yicheng Qiang, Oliver W. Paulin, and David Zwicker
Phys. Rev. Research 8, L022023 (2026)
30 April, 2026
T. Botzung, G. Creutzer, C. Sayrin, and J. Schachenmayer
Phys. Rev. Research 8, L022019 (2026)
27 April, 2026
Matéo F. L. Roinard-Chauvet, Axel J. M. Deenen, and Dirk Grundler
Phys. Rev. Research 8, L022018 (2026)
22 April, 2026
Viktor Holubec, Alexander Fischer, Giovanni Volpe, and Frank Cichos
Phys. Rev. Research 8, L022017 (2026)
16 April, 2026
Eli Chertkov, Andrew C. Potter, David Hayes, and Michael Foss-Feig
Phys. Rev. Research 8, 023057 (2026)













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