10 citations · 19 across the 3 of their papers we have counts for
3 papers
physics.chem-ph2026
Optimization of random phase approximation calculations for improved energies of molecules, solids, and surfaces
Neung-Kyung Yu, Johannes Voss, Andrew J. Medford
We present an optimized random phase approximation method (optRPA26) that significantly improves upon conventional RPA. The method employs an empirically constructed hybrid functio…
physics.chem-ph2023★ 9 cited
Machine learning for accuracy in density functional approximations
Johannes Voss
Machine learning techniques have found their way into computational chemistry as indispensable tools to accelerate atomistic simulations and materials design. In addition, machine…
cond-mat.mtrl-sci2022★ 10 cited
Hubbard-corrected oxide formation enthalpies without adjustable parameters
Johannes Voss
A density functional theory (DFT) approach to computing transition metal oxide heat of formation without adjustable parameters is presented. Different degrees of -electron local…