matbench-submission-coGN / CrystalGNNsLinks
☆10Updated last year
Alternatives and similar repositories for CrystalGNNs
Users that are interested in CrystalGNNs are comparing it to the libraries listed below
Sorting:
- Generative materials benchmarking metrics, inspired by guacamol and CDVAE.☆40Updated last year
- ☆16Updated 7 months ago
- An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]☆22Updated 8 months ago
- Source code for generating materials with 20 space groups using PGCGM☆33Updated 2 years ago
- This is a conditionally generative model for crystal structures based on a modified version of CDVAE.☆31Updated 2 weeks ago
- This repo contains the datasets used for the paper The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials.☆18Updated 2 years ago
- ☆32Updated 4 years ago
- Active Learning for Machine Learning Potentials☆55Updated last year
- ☆22Updated 2 years ago
- A molecular simulation package integrating MLFFs in MOFs for DAC☆31Updated 2 months ago
- A text-guided diffusion model for crystal structure generation☆60Updated 3 weeks ago
- ☆26Updated 10 months ago
- Original implementation of CSPML☆24Updated 6 months ago
- ☆28Updated 3 years ago
- FTCP code☆34Updated last year
- Diffusion Probabilistic CDVAE☆23Updated last year
- ☆31Updated 3 years ago
- ☆26Updated 2 weeks ago
- Equivariant Diffusion for Crystal Structure Prediction (ICML 2024)☆21Updated 10 months ago
- Composition-Conditioned Crystal GAN pytorch code☆43Updated 3 years ago
- [NeurIPS 2024] source code for "A Recipe for Charge Density Prediction"☆34Updated 6 months ago
- Multimodal Transformer for Predicting Global Minimum Adsorption Energy☆16Updated 2 months ago
- Algorithms to analyze and predict molecular structures☆19Updated 9 months ago
- Generate and predict molecular electron densities with Euclidean Neural Networks☆48Updated last year
- [ICLR 2024] The implementation for the paper "Space Group Constrained Crystal Generation"☆43Updated 2 weeks ago
- Predict the electronic structure and atomic properties (potential energy, forces, and stress tensor) of polymers containing N and/or O.☆20Updated 9 months ago
- Encode/decode a crystal structure to/from a grayscale PNG image for direct use with image-based machine learning models such as Palette.☆37Updated last year
- ☆10Updated last week
- Collection of tutorials to use the MACE machine learning force field.☆47Updated 9 months ago
- This is the source code of CubicGAN generating cubic crystal structures using improved WGAN.☆10Updated 3 years ago