Messerly, Mitchell https://orcid.org/0009-0000-3812-5915
Matin, Sakib https://orcid.org/0000-0001-5166-2838
Allen, Alice E A https://orcid.org/0000-0002-8727-8333
Nebgen, Benjamin https://orcid.org/0000-0001-5310-3263
Barros, Kipton https://orcid.org/0000-0002-1333-5972
Smith, Justin S https://orcid.org/0000-0001-7314-7896
Lubbers, Nicholas https://orcid.org/0000-0002-9001-9973
Messerly, Richard https://orcid.org/0000-0003-1321-4246
Funding for this research was provided by:
Laboratory Directed Research and Development (20230290ER)
Basic Energy Sciences (LANLE3F2)
Article Title: Multi-fidelity learning for interatomic potentials: low-level forces and high-level energies are all you need*
Journal Title: Machine Learning: Science and Technology
Article Type: paper
Copyright Information: © 2025 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2025-05-02
Date Accepted: 2025-09-05
Online publication date: 2025-09-29