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High-Throughput Prediction of Molten Salt Mixture Density with Supervised Machine Learning

  • Julián Barra Otondo
  • , Shayan Shahbazi
  • , Tyler Starkus
  • , Anthony Birri
  • , Simone Audesse
  • , Prasanna Balaprakash
  • , Rajni Chahal
  • , Stephen Lam

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations
Original languageEnglish
Pages (from-to)482-483
Number of pages2
JournalTransactions of the American Nuclear Society
Volume129
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 Transactions of the American Nuclear Society Winter Conference and Expo, ANS 2023 - Washington, United States
Duration: Nov 12 2023 → Nov 15 2023

Funding

This work is supported by DOE-NENs Nuclear Energy University Program (NEUP) Award DE-NE0009204 and National Science Foundation (NSF) Award PFI-2138456.

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