Multifidelity Information Fusion with Machine Learning: A Case Study of Dopant Formation Energies in Hafnia
Author:
Affiliation:
1. Department of Materials Science & Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
2. Materials Science and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States
Funder
Army Research Office
Basic Energy Sciences
Publisher
American Chemical Society (ACS)
Subject
General Materials Science
Link
https://pubs.acs.org/doi/pdf/10.1021/acsami.9b02174
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