Ensemble Learning for Uncertainty Estimation in Molten Salt Atomistic Simulations

Rajni Chahal, Shubhojit Banerjee, Stephen T. Lam

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations
Original languageEnglish
Pages (from-to)483-486
Number of pages4
JournalTransactions of the American Nuclear Society
Volume127
Issue number1
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 Transactions of the American Nuclear Society Winter Meeting and Technology Expo, ANS 2022 - Phoenix, United States
Duration: Nov 13 2022Nov 17 2022

Funding

This work is supported by DOE-NE's Nuclear Energy University Program (NEUP) under Award DE-NE0009204. A part of the computational resources were provided by Massachusetts green high-performance computing cluster (MGHPCC). This research also used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231, awards ASCRERCAP0022362 and BES-ERCAP0022445. This work is supported by DOE-NE’s Nuclear Eneryg University Program (NEUP) under Award DE-NE0009204. A part of the computational resources were provided by Massachusetts green high-performance computing cluster (MGHPCC). This research also used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231, awards ASCR-ERCAP0022362 and BES-ERCAP0022445.

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