Thiemann, Fabian L https://orcid.org/0000-0003-2951-6740
O’Neill, Niamh https://orcid.org/0000-0003-1808-0814
Kapil, Venkat https://orcid.org/0000-0003-0324-2198
Michaelides, Angelos https://orcid.org/0000-0002-9169-169X
Schran, Christoph https://orcid.org/0000-0003-4595-5073
Funding for this research was provided by:
Gates Cambridge Trust
HORIZON EUROPE European Innovation Council (101071937)
Deutsche Forschungsgemeinschaft (500244608)
Alexander von Humboldt-Stiftung
Ernest Oppenheimer Early Career Fellowship
Isaac Newton Trust (G122390)
Article Title: Introduction to machine learning potentials for atomistic simulations
Journal Title: Journal of Physics: Condensed Matter
Article Type: paper
Copyright Information: © 2024 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2024-07-16
Date Accepted: 2024-11-22
Online publication date: 2024-12-06