Machine Learning for Gas Void Fraction Prediction in Two-Phase Flow

Farnam Pournia, Robert Salko, Xingang Zhao

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

Original language	English
Pages (from-to)	1288-1291
Number of pages	4
Journal	Transactions of the American Nuclear Society
Volume	130
Issue number	1
DOIs	https://doi.org/10.13182/T130-44647
State	Published - 2024
Event	2024 Annual Conference on Transactions of the American Nuclear Society, ANS 2024 - Las Vegas, United States Duration: Jun 16 2024 → Jun 19 2024

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title = "Machine Learning for Gas Void Fraction Prediction in Two-Phase Flow",

author = "Farnam Pournia and Robert Salko and Xingang Zhao",

year = "2024",

doi = "10.13182/T130-44647",

language = "English",

volume = "130",

pages = "1288--1291",

journal = "Transactions of the American Nuclear Society",

issn = "0003-018X",

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note = "2024 Annual Conference on Transactions of the American Nuclear Society, ANS 2024 ; Conference date: 16-06-2024 Through 19-06-2024",

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T1 - Machine Learning for Gas Void Fraction Prediction in Two-Phase Flow

AU - Pournia, Farnam

AU - Salko, Robert

AU - Zhao, Xingang

PY - 2024

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DO - 10.13182/T130-44647

M3 - Conference article

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EP - 1291

JO - Transactions of the American Nuclear Society

JF - Transactions of the American Nuclear Society

IS - 1

T2 - 2024 Annual Conference on Transactions of the American Nuclear Society, ANS 2024

Y2 - 16 June 2024 through 19 June 2024

ER -