Lupo Pasini, Massimiliano https://orcid.org/0000-0002-4980-6924
Zhang, Pei https://orcid.org/0000-0002-8351-0529
Temple Reeve, Samuel https://orcid.org/0000-0002-4250-9476
Youl Choi, Jong https://orcid.org/0000-0002-6459-6152
Funding for this research was provided by:
Oak Ridge National Laboratory - Artificial Intelligence Initiative (3110L111)
U.S. Department of Energy (DE-AC05-00OR22725)
Oak Ridge National Laboratory (DE-AC05-00OR22725)
Oak Ridge Leadership Computing Facility (Directorate Discretionary OLCF allocation - CSC457)
US Department of Energy
UT-Battelle, LLC
Program of Oak Ridge
Article Title: Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems *
Journal Title: Machine Learning: Science and Technology
Article Type: paper
Copyright Information: © 2022 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2022-02-07
Date Accepted: 2022-04-25
Online publication date: 2022-05-05