SPARC: An Automated Workflow Toolkit for Accelerated Active Learning of Reactive Machine Learning Interatomic Potentials

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Authors: Rahul Verma, Nisarg Joshi, Jim Pfaendtner
Cited by: 0

Abstract

This compressed archive contains the required set of input files to execute the SPARC MLIP workflow. The dataset also includes the configuration settings to reproduce the results of this work.In addition, the Result directory located inside the root folder contains the corresponding output data generated from the workflow run.

Fields of Study & Subjects

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

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026
Document type
Dataset