21 citations · 33 across the 10 of their papers we have counts for
3 papers · 1 filter
Explain Like I'm Five: Using LLMs to Improve PDE Surrogate Models with Text
Cooper Lorsung, Amir Barati Farimani
Solving Partial Differential Equations (PDEs) is ubiquitous in science and engineering. Computational complexity and difficulty in writing numerical solvers has motivated the devel…
Strategies for Pretraining Neural Operators
Anthony Zhou, Cooper Lorsung, AmirPouya Hemmasian +1
Pretraining for partial differential equation (PDE) modeling has recently shown promise in scaling neural operators across datasets to improve generalizability and performance. Des…
PICL: Physics Informed Contrastive Learning for Partial Differential Equations
Cooper Lorsung, Amir Barati Farimani
Neural operators have recently grown in popularity as Partial Differential Equation (PDE) surrogate models. Learning solution functionals, rather than functions, has proven to be a…