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The Journal of Chemical Physics|May 20, 2026
Accurate thermophysical properties of water using machine-learned potentialsTobias Hilpert, Georg KresseThe Journal of Chemical Physics|June 23, 2026
Scalar machine learning of tensorial quantities-Born effective charges from monopole modelsBernhard Schmiedmayer, Angela Rittsteuer, Tobias Hilpert, et al.Physical Review Letters|October 2, 2009
Accurate bulk properties from approximate many-body techniquesJudith Harl, Georg KressePhysical Chemistry Chemical Physics : PCCP|February 25, 2021
New insights into the 1D carbon chain through the RPABenjamin Ramberger, Georg KresseThe Journal of Chemical Physics|February 12, 2014
Kohn-Sham band gaps and potentials of solids from the optimised effective potential method within the random phase approximationJiří Klimeš, Georg KresseThe Journal of Chemical Physics|August 22, 2024
Derivative learning of tensorial quantities-Predicting finite temperature infrared spectra from first principlesBernhard Schmiedmayer, Georg KressePhysical Chemistry Chemical Physics : PCCP|September 23, 2023
Correction: New insights into the 1D carbon chain through the RPABenjamin Ramberger, Georg KresseJournal of Chemical Theory and Computation|September 6, 2017
GW Vertex Corrected Calculations for Molecular SystemsEmanuele Maggio, Georg KresseThe Journal of Chemical Physics|February 17, 2017
Macroscopic dielectric function within time-dependent density functional theory-Real time evolution versus the Casida approachTobias Sander, Georg KresseThe Journal of Chemical Physics|April 23, 2021
Optimized effective potentials from the random-phase approximation: Accuracy of the quasiparticle approximationStefan Riemelmoser, Merzuk Kaltak, Georg KressePageof 8