Engineering and Technologynpj Computational Materials
Machine learned interatomic potentials using random features
G. Dhaliwal, P. B. Nair, et al.
Discover a groundbreaking method for modeling interatomic interactions featuring rapid parameter estimation and impressive reductions in training time. This innovative approach, developed by Gurjot Dhaliwal, Prasanth B. Nair, and Chandra Veer Singh, showcases exceptional accuracy in predicting forces and energy, aligning closely with density functional theory results.
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