FitSNAP MLFF Training

HubZero 2026 Open access

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Authors: Rushik Desai
DOI: 10.21981/f6qf-w957
Cited by: 0

Abstract

A sim2L that takes in data and hyperparameter information and trains a machine learning force field using either SNAP or ACE descriptors.

Fields of Study & Subjects

Machine Learning in Materials Science Advanced Chemical Physics Studies Model Reduction and Neural Networks

Publication details

Journal / source
HubZero
Publication date
1 January 2026
Language
EN