NU-CUCIS / ElemNetLinks
Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
☆98Updated this week
Alternatives and similar repositories for ElemNet
Users that are interested in ElemNet are comparing it to the libraries listed below
Sorting:
- 3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)☆43Updated 2 years ago
- Predict materials properties using only the composition information!☆119Updated 2 years ago
- Representation Learning from Stoichiometry☆60Updated 3 years ago
- Crystal Graph Neural Networks☆110Updated last year
- An automatic engine for predicting materials properties.☆169Updated 2 years ago
- Machine Learning Interatomic Potential Predictions☆94Updated last year
- Repository for links to software packages and databases used in deep-learning applications for materials science☆150Updated 8 months ago
- MAterials Simulation Toolkit for Machine Learning (MAST-ML)☆128Updated 3 months ago
- This repository is no longer maintained. For the latest updates and continued development, please visit: https://github.com/atomgptlab/ja…☆93Updated 6 months ago
- Unsupervised learning of atomic scale dynamics from molecular dynamics.☆85Updated 4 years ago
- Expanded dataset of mechanical properties and observed phases of multi-principal element alloys☆42Updated 3 years ago
- A machine learning environment for atomic-scale modeling in surface science and catalysis.☆116Updated last year
- A Python library for building atomic neural networks☆121Updated 3 weeks ago
- ☆14Updated 3 years ago
- MODNet: a framework for machine learning materials properties☆103Updated 8 months ago
- image-based generative model for inverse design of solid state materials☆41Updated 3 years ago
- ☆73Updated 4 years ago
- ☆102Updated 4 months ago
- A repo of examples for the matminer (https://github.com/hackingmaterials/matminer) code☆120Updated 4 years ago
- Learning to Discover Crystallographic Structures with Generative Adversarial Networks☆39Updated 6 years ago
- code package with elemental property dictionary that trains a model based on training dataset and gives prediction on new perovskite comp…☆29Updated 7 years ago
- MatDeepLearn, package for graph neural networks in materials chemistry☆198Updated 2 years ago
- ASAP is a package that can quickly analyze and visualize datasets of crystal or molecular structures.☆152Updated last year
- Composition-Conditioned Crystal GAN pytorch code☆43Updated 3 years ago
- MatDeepLearn for DOS prediction☆26Updated 3 years ago
- Code to help you get started using machine learning in materials science☆19Updated 6 years ago
- Python package to aid materials design and informatics☆129Updated this week
- ☆113Updated 5 months ago
- Public repo for Materials API documentation☆143Updated 3 years ago
- Benchmark Suite for Machine Learning Interatomic Potentials for Materials☆109Updated 3 years ago