PINNICLE
PINNICLE (Physics-Informed Neural Networks for Ice and CLimatE) is a Python library for solving ice sheet modeling problems using a unified framework with Physics Informed Neural Networks. It is designed to integrate physical laws with observational data to solve both forward and inverse problems in glaciology. The library currently supports stress balance approximations, mass conservation, and time-dependent simulations, etc. Built on top of DeepXDE, it supports TensorFlow, PyTorch, and JAX backends.
Note
This project is under active development.
Data
Training
User Guide