2 citations · 2 across the 3 of their papers we have counts for
3 papers
Dense granular rheology from fluctuations
Benjamin M. Alessio, Matthew R. Edwards, Ching-Yao Lai
A governing equation for the granular temperature of flows past the jamming point is proposed and validated term-by-term with discrete element simulation. We measure and construct…
Machine learning for climate physics and simulations
Ching-Yao Lai, Pedram Hassanzadeh, Aditi Sheshadri +3
We discuss the emerging advances and opportunities at the intersection of machine learning (ML) and climate physics, highlighting the use of ML techniques, including supervised, un…
How to infer ocean freezing rates on icy satellites from measurements of ice thickness
Nicole C. Shibley, Ching-Yao Lai, Riley Culberg
Liquid-water oceans likely underlie the ice shells of Europa and Enceladus, but ocean properties are challenging to measure due to the overlying ice. Here, we consider gravity-driv…