most citedHybrid localized graph kernel for machine learning energy-related properties of molecules and solids

4 citations · 4 across the 2 of their papers we have counts for

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cond-mat.mtrl-sci2021

Assessing the Accuracy of Machine Learning Thermodynamic Perturbation Theory: Density Functional Theory and Beyond

Basile Herzog, Mauricio Chagas da Silva, Bastien Casier +5

Machine learning thermodynamic perturbation theory (MLPT) is a promising approach to compute finite temperature properties when the goal is to compare several different levels of a…