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

doi:10.13182/T129-42553

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 language	English
Pages (from-to)	482-483
Number of pages	2
Journal	Transactions of the American Nuclear Society
Volume	129
DOIs	https://doi.org/10.13182/T129-42553
State	Published - 2023
Externally published	Yes
Event	2023 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.

Funders	Funder number
DOE-NENs Nuclear Energy University	DE-NE0009204
National Science Foundation	PFI-2138456

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10.13182/T129-42553

Cite this

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title = "High-Throughput Prediction of Molten Salt Mixture Density with Supervised Machine Learning",

author = "Otondo, {Juli{\'a}n Barra} and Shayan Shahbazi and Tyler Starkus and Anthony Birri and Simone Audesse and Prasanna Balaprakash and Rajni Chahal and Stephen Lam",

year = "2023",

doi = "10.13182/T129-42553",

language = "English",

volume = "129",

pages = "482--483",

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TY - JOUR

T1 - High-Throughput Prediction of Molten Salt Mixture Density with Supervised Machine Learning

AU - Otondo, Julián Barra

AU - Shahbazi, Shayan

AU - Starkus, Tyler

AU - Birri, Anthony

AU - Audesse, Simone

AU - Balaprakash, Prasanna

AU - Chahal, Rajni

AU - Lam, Stephen

PY - 2023

Y1 - 2023

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U2 - 10.13182/T129-42553

DO - 10.13182/T129-42553

M3 - Conference article

AN - SCOPUS:85180620926

SN - 0003-018X

VL - 129

SP - 482

EP - 483

JO - Transactions of the American Nuclear Society

JF - Transactions of the American Nuclear Society

T2 - 2023 Transactions of the American Nuclear Society Winter Conference and Expo, ANS 2023

Y2 - 12 November 2023 through 15 November 2023

ER -

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

Funding

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