MaterialsAtlas Reading List
Towards better efficiency of interatomic linear machine learning potentials
reading-liststarter-packexemplar-papermachine-learning-potentialsmaterials-science
Exemplar Discovery Paper for Machine learning potentials. Exemplar discovery paper for Machine learning potentials; selected as a highly cited or venue-prominent research article rather than a general review.
Citation: Alexandra M. Goryaeva, Jean-Bernard Maillet, Mihai-Cosmin Marinica. Towards better efficiency of interatomic linear machine learning potentials. Computational Materials Science 2019. https://doi.org/10.1016/j.commatsci.2019.04.043
Acknowledgement: Curated by MaterialsAtlas Open Resources from OpenAlex, Crossref, and manual landmark-paper review.