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Showing 2023 · cond-mat.mtrl-sciShow all
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cond-mat.mtrl-sci2023★ 22 cited
Machine learning density functionals from the random-phase approximation
Stefan Riemelmoser, Carla Verdi, Merzuk Kaltak +1
Kohn-Sham density functional theory (DFT) is the standard method for first-principles calculations in computational chemistry and materials science. More accurate theories such as…
cond-mat.mtrl-sci2023★ 87 cited
How to verify the precision of density-functional-theory implementations via reproducible and universal workflows
Emanuele Bosoni, Louis Beal, Marnik Bercx +42
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 phys…