MaterialsAtlas Reading List

Roadmap for the development of machine learning-based interatomic potentials

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Primer Paper for Machine learning potentials. Primer/perspective candidate for entering Machine learning potentials; selected for broad framing, teachability, venue strength, and citation signal.

Citation: Yong-Wei Zhang, Viacheslav Sorkin, Zachary H Aitken, Antonio Politano, Jörg Behler. Roadmap for the development of machine learning-based interatomic potentials. Modelling and Simulation in Materials Science and Engineering 2025. https://doi.org/10.1088/1361-651x/ad9d63

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

TypeReading List

DomainMachine learning potentials

LicenseScholarly article; see publisher

ContributorsYong-Wei Zhang, Viacheslav Sorkin, Zachary H Aitken, Antonio Politano, Jörg Behler