3 papers
cond-mat.soft2026
Dense granular rheology from fluctuations
Benjamin M. Alessio, Matthew R. Edwards, Ching-Yao Lai
A unifying framework to describe dense flows of dry, deformable grains is proposed. Perturbative analysis of a granular temperature equation describing flows with contact stresses,…
physics.ao-ph2024
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…
astro-ph.EP2023
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…