Simon Driscoll
@simon-driscoll.bsky.social
Assistant (Research) Professor, Department of Applied Mathematics and Theoretical Physics (ICCS), Uni of Cambridge. DPhil Oxford Physics.
Reading Uni (SASIP, Schmidt Sciences). ATI 2025.
ML/AI, physics, climate, & more.
Reading Uni (SASIP, Schmidt Sciences). ATI 2025.
ML/AI, physics, climate, & more.
(1/4) Karan Jakhar (University of Chicago and Rice University) and his colleagues used machine learning to develop a subgrid-scale parameterization for geophysical turbulence that is not only effective but also analytically derivable using Taylor series expansion.
November 28, 2024 at 8:15 PM
(1/4) Karan Jakhar (University of Chicago and Rice University) and his colleagues used machine learning to develop a subgrid-scale parameterization for geophysical turbulence that is not only effective but also analytically derivable using Taylor series expansion.