aiida-mlip, Workflow Management for Machine Learning Interatomic Potentials (MLIP)

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AiiDA-MLIP is a plugin for AiiDA, a versatile workflow management system designed for simulations in materials and molecular sciences. Beyond managing workflows, AiiDA distinguishes itself from traditional tools by providing detailed data provenance, ensuring transparency and reproducibility in simulations. AiiDA-MLIP integrates the Janus core into the AiiDA ecosystem, enabling seamless utilization of machine-learned interatomic potentials (MLIPs) within this robust framework.

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This resource is part of the Data to Knowledge resource theme.

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Citation

Please cite: Elliott Kasoar, Federica Zanca, Jacob Wilkins and Alin Marin Elena, aiida-mlip, Workflow Management for Machine Learning Interatomic Potentials (MLIP), https://resources.psdi.ac.uk/tool/290bd5d1-95fa-49f5-958e-f62b2ed66386 (v0.2.1, accessed CURRENT_DATE).

Keywords and Subjects

Machine Learning Interatomic Potentials
MLIP
AiiDA