A Graph Dynamical Neural Network Approach for Decoding Dynamical States in Ferroelectrics.
-
Updated
Dec 29, 2025 - Jupyter Notebook
A Graph Dynamical Neural Network Approach for Decoding Dynamical States in Ferroelectrics.
🧬 Analyze molecular dynamics with GDyNet-Ferro, a scalable PyTorch implementation of Graph Dynamical Networks for decoding ferroelectric states.
Add a description, image, and links to the large-scale-md topic page so that developers can more easily learn about it.
To associate your repository with the large-scale-md topic, visit your repo's landing page and select "manage topics."