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20182026
most citedMachine Learning the Physical Non-Local Exchange-Correlation Functional of Density-Functional Theory

112 citations · 279 across the 14 of their papers we have counts for

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cond-mat.mtrl-sci2025

Universal Machine Learning Potentials under Pressure

Antoine Loew, Jonathan Schmidt, Silvana Botti +1

Universal machine learning interatomic potentials (uMLIPs) represent arguably the most successful application of machine learning to materials science, demonstrating remarkable per…