MaterialsAtlas Reading List
Machine learning for interatomic potential models
reading-liststarter-packreview-papermachine-learning-potentialsmaterials-science
Review/Survey Paper for Machine learning potentials. High-quality review of ML interatomic potentials, model classes, training data, and simulation use cases.
Citation: Machine learning for interatomic potential models. Nature Reviews Materials 2020. https://doi.org/10.1038/s41578-020-0184-5
Acknowledgement: Curated by MaterialsAtlas Open Resources from OpenAlex, Crossref, and manual landmark-paper review.