2 citations · 2 across the 1 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.flu-dyn2018
Reaction analogy based forcing for incompressible scalar turbulence
Don Daniel, Daniel Livescu, Jaiyoung Ryu
We present a novel reaction analogy (RA) based forcing method for generating stationary scalar fields in incompressible turbulence. The new method can produce more general scalar P…