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cs.LG2023
Multi-fidelity Design of Porous Microstructures for Thermofluidic Applications
Jonathan Tammer Eweis-LaBolle, Chuanning Zhao, Yoonjin Won +1
As modern electronic devices are increasingly miniaturized and integrated, their performance relies more heavily on effective thermal management. Two-phase cooling methods enhanced…
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…