MaterialsAtlas Reading List

A universal graph deep learning interatomic potential for the periodic table

reading-liststarter-packexemplar-papermachine-learning-potentialsmaterials-science

Exemplar Discovery Paper for Machine learning potentials. Representative discovery-enabling paper for universal graph neural network potentials in inorganic materials.

Citation: A universal graph deep learning interatomic potential for the periodic table. Nature Computational Science 2022. https://doi.org/10.1038/s43588-022-00349-3

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

TypeReading List
DomainMachine learning potentials
LicenseScholarly article; see publisher
ContributorsNot specified