Generative deep learning model for inorganic materials
☆20Mar 24, 2023Updated 2 years ago
Alternatives and similar repositories for MatGAN
Users that are interested in MatGAN are comparing it to the libraries listed below
Sorting:
- Inorganic Reaction Prediction☆11Jul 25, 2024Updated last year
- The inverse materials design is a key topic of materials science nowadays. The proposed software solutions are useful tools for decision …☆11Jul 15, 2020Updated 5 years ago
- image-based generative model for inverse design of solid state materials☆42Feb 18, 2022Updated 4 years ago
- Visualization for TRI materials network data☆17Jul 18, 2023Updated 2 years ago
- Superconductors material dataset☆26Dec 5, 2023Updated 2 years ago
- Predict materials properties using only the composition information!☆17Jun 4, 2025Updated 9 months ago
- ☆14Dec 6, 2023Updated 2 years ago
- ☆13Oct 18, 2022Updated 3 years ago
- ☆26Aug 19, 2024Updated last year
- ☆22Aug 31, 2020Updated 5 years ago
- Predict materials properties using only the composition information!☆123Apr 23, 2023Updated 2 years ago
- Learning to Discover Crystallographic Structures with Generative Adversarial Networks☆39Nov 21, 2019Updated 6 years ago
- plug-n-play black box optimizer for high-throughput computing☆51Mar 8, 2023Updated 3 years ago
- NeurIPS 2018 MLMM Workshop: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Predicti…☆68May 3, 2024Updated last year
- An unofficial jax/haiku implementation of Crystal Graph Convolutional Neural Networks (CGCNN)☆10Dec 17, 2022Updated 3 years ago
- Materials Project Documentation☆14Jun 2, 2022Updated 3 years ago
- A Python package for adding uncertainties to neural network models of chemical systems.☆27Jul 5, 2022Updated 3 years ago
- Python Topological Materials (pytopomat) is a code for easy, high-throughput analysis of topological materials.☆30May 17, 2021Updated 4 years ago
- Representation Learning from Stoichiometry☆60Dec 12, 2022Updated 3 years ago
- MaterialsCoord: infrastructure to benchmark crystal structure coordination algorithms☆20Mar 13, 2023Updated 3 years ago
- Grobid module for superconductor material and properties extraction☆22May 17, 2025Updated 10 months ago
- Composition-Conditioned Crystal GAN pytorch code☆42Feb 28, 2022Updated 4 years ago
- BoundLess Objective-free eXploration (BLOX) for discovery of out-of-trend materials☆25May 28, 2020Updated 5 years ago
- Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry☆85Jan 22, 2026Updated last month
- A tool for generating unique ordered structures corresponding to a given disordered structure.☆17Dec 28, 2023Updated 2 years ago
- Materials Transformers☆25Feb 4, 2023Updated 3 years ago
- Sky-MoCa Skyrmion - Monte Carlo: Simulated annealing for a 3D spin lattice in Julia☆14Jul 4, 2019Updated 6 years ago
- Graphic user interface (GUI) for the battery database.☆16Feb 10, 2023Updated 3 years ago
- MatDeepLearn, package for graph neural networks in materials chemistry☆202Mar 20, 2023Updated 2 years ago
- SMARTS: 'regular expressions' for chemical structures☆21Jun 21, 2018Updated 7 years ago
- A suite of React components for the Materials Project, developed for use in Crystal Toolkit and the Materials Project public website.☆30Mar 12, 2026Updated last week
- Data Science for Materials Science☆66Feb 19, 2026Updated last month
- An automatic engine for predicting materials properties.☆168Nov 12, 2023Updated 2 years ago
- ☆14Jun 30, 2024Updated last year
- "Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures", Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Je…☆36Nov 7, 2019Updated 6 years ago
- A Highly Opinionated List of Open Source Materials Informatics Resources☆147Feb 18, 2022Updated 4 years ago
- This package contains a few programs to study band topology based on the Wannier tight-binding model.☆11May 30, 2021Updated 4 years ago
- ☆11Dec 19, 2016Updated 9 years ago
- This repository contains organizational notes and details for the CECAM MADICES workshop, 7th-9th February 2022.☆13Feb 22, 2022Updated 4 years ago