3 citations · 5 across the 2 of their papers we have counts for
2 papers
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…
physics.app-ph2022★ 3 cited
Deep Vision-Inspired Bubble Dynamics on Hybrid Nanowires with Dual Wettability
Jonggyu Lee, Youngjoon Suh, Max Kuciej +3
The boiling efficacy is intrinsically tethered to trade-offs between the desire for bubble nucleation and necessity of vapor removal. The solution to these competing demands requir…