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cics-nd
ar-pde-cnn cics-nd
30
84
mit
6
Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
deep-learning physics-informed bayesian-surrogate physics-constrained convolutional-neural-networks partial-differential-equations
This repository has been archived (exclude archived)
Created 2019-06-18
8 commits to master branch, last one 2 years ago
RolnickLab
constrained-downscaling RolnickLab
4
67
unknown
2
A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
climate emulation downscaling super-resolution physics-constrained
Created 2023-01-05
45 commits to main branch, last one about a year ago