MaterialsAtlas Reading List

Machine learning interatomic potentials in engineering perspective for developing cathode materials

reading-liststarter-packprimer-papermachine-learning-potentialsmaterials-science

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: Dohyeong Kwon, Duho Kim. Machine learning interatomic potentials in engineering perspective for developing cathode materials. Journal of Materials Chemistry A 2024. https://doi.org/10.1039/d4ta03452j

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

TypeReading List
DomainMachine learning potentials
LicenseScholarly article; see publisher
ContributorsDohyeong Kwon, Duho Kim