Recent advances and outstanding challenges for machine learning interatomic potentials

Review/Survey Paper for Machine learning potentials. Review/survey candidate for mapping the literature, mechanisms, methods, and open questions in Machine learning potentials.

Citation: Tsz Wai Ko, Shyue Ping Ong. Recent advances and outstanding challenges for machine learning interatomic potentials. Nature Computational Science 2023. https://doi.org/10.1038/s43588-023-00561-9

Acknowledgement: Curated by MaterialsAtlas Open Resources from OpenAlex, Crossref, and manual landmark-paper review.