Lai Research Group
Popular repositories Loading
-
MultistageNN
MultistageNN PublicCodes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"
-
DIFFICE_jax
DIFFICE_jax PublicDifferentiable neural-network solver for data assimilation of ice shelves written in JAX
-
Environments
Environments PublicThis repo provides the environments suitable for running our codes on Della-gpu, group workstation, and your local machine
-
ice_1D_pinn
ice_1D_pinn PublicPython library to train PINNs for 1D ice shelf modeling. Used in the paper "1D Ice Shelf Hardness Inversion: Clustering Behavior and Collocation Resampling in Physics-Informed Neural Networks" by I…
Python 1
-
pinn_clusters
pinn_clusters PublicAccompanying code for paper: "1D Ice Shelf Hardness Inversion: Clustering Behavior and Collocation Resampling in Physics-Informed Neural Networks" by Yunona Iwasaki and Ching-Yao Lai. We document t…
-
Repositories
- DIFFICE_jax Public
Differentiable neural-network solver for data assimilation of ice shelves written in JAX
YaoGroup/DIFFICE_jax’s past year of commit activity - ice_1D_pinn Public
Python library to train PINNs for 1D ice shelf modeling. Used in the paper "1D Ice Shelf Hardness Inversion: Clustering Behavior and Collocation Resampling in Physics-Informed Neural Networks" by Iwasaki and Lai.
YaoGroup/ice_1D_pinn’s past year of commit activity - MultistageNN Public
Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"
YaoGroup/MultistageNN’s past year of commit activity - pinn_clusters Public
Accompanying code for paper: "1D Ice Shelf Hardness Inversion: Clustering Behavior and Collocation Resampling in Physics-Informed Neural Networks" by Yunona Iwasaki and Ching-Yao Lai. We document the codes used to train PINNs for 1D ice-shelf inverse modeling and to analyze training results over repeated trials.
YaoGroup/pinn_clusters’s past year of commit activity - Environments Public
This repo provides the environments suitable for running our codes on Della-gpu, group workstation, and your local machine
YaoGroup/Environments’s past year of commit activity
