Lai Research Group's repositories
MultistageNN
Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"
DIFFICE_jax
Differentiable neural-network solver for data assimilation of ice shelves written in JAX
pinn_clusters
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.
Environments
This repo provides the environments suitable for running our codes on Della-gpu, group workstation, and your local machine
ice_1D_pinn
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.
ServerMantaince
tutorial for using workstation/cluster
slurm_tool
Tools for generating and submitting jobs on Princeton cluster
ToyExample
Hello! This the is toy project for new comers uploading their first change.