Lai Research Group
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Repositories
- DIFFICE_jax Public
Differentiable neural-network solver for data assimilation of ice shelves written in JAX
- streams-vs-fractures Public
repository for work related to identification of streams and fractures on the Greenland Ice Sheet surface
- 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.
- MultistageNN Public
Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"
- 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.
- Environments Public
This repo provides the environments suitable for running our codes on Della-gpu, group workstation, and your local machine
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