3 citations · 7 across the 5 of their papers we have counts for
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physics.app-ph2023★ 1 cited
Review: Artificial Intelligence for Liquid-Vapor Phase-Change Heat Transfer
Youngjoon Suh, Aparna Chandramowlishwaran, Yoonjin Won
Artificial intelligence (AI) is shifting the paradigm of two-phase heat transfer research. Recent innovations in AI and machine learning uniquely offer the potential for collecting…
cs.LG2023★ 2 cited
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning
Sheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv +5
In the field of phase change phenomena, the lack of accessible and diverse datasets suitable for machine learning (ML) training poses a significant challenge. Existing experimental…