Liang, Qiaohao http://orcid.org/0000-0002-6551-9810
Gongora, Aldair E.
Ren, Zekun
Tiihonen, Armi http://orcid.org/0000-0001-9753-6802
Liu, Zhe
Sun, Shijing http://orcid.org/0000-0002-6179-1390
Deneault, James R.
Bash, Daniil
Mekki-Berrada, Flore
Khan, Saif A. http://orcid.org/0000-0002-8990-8802
Hippalgaonkar, Kedar http://orcid.org/0000-0002-1270-9047
Maruyama, Benji
Brown, Keith A. http://orcid.org/0000-0002-2379-2018
Fisher III, John
Buonassisi, Tonio http://orcid.org/0000-0001-8345-4937
Funding for this research was provided by:
TOTAL S.A. research grant funded through MITei
National Science Foundation (CMMI-1661412, CMMI-1661412, CBET-1605547)
Boston University
Singapore-MIT Alliance for Research and Technology Centre
Total
United States Department of Defense | Defense Advanced Research Projects Agency (HR001118C0036, HR001118C0036, HR001118C0036)
Skolkovo Institute of Science and Technology
United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (19RHCOR089, 19RHCOR089)
Agency for Science, Technology and Research (A1898b0043, A1898b0043, A1898b0043, A1898b0043)
Article History
Received: 16 May 2021
Accepted: 12 October 2021
First Online: 18 November 2021
Competing interests
: The authors Z.R., Z.L., D.B., K.H., T.B. declare general IP in the area of applied machine learning, and are associated with start-up efforts (xinterra<sup>™</sup>) to accelerate materials development using applied machine learning. The other authors declare no competing interests.