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…