Official implementation of MatterGen -- a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property constraints.
- Updated
Nov 10, 2025 - Python
Official implementation of MatterGen -- a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property constraints.
Curated list of known efforts in materials informatics, i.e. in modern materials science
A Python library which allows construction and manipulation of complex molecules, as well as automatic molecular design and the creation of molecular databases.
Python package to aid materials design and informatics
Catalyst Micro-kinetic Analysis Package for automated creation of micro-kinetic models used in catalyst screening
Defect structure-searching employing chemically-guided bond distortions
A package for Covalent Organic Frameworks structure assembly based on specific building block, topology and functional groups based on the reticular approach
Julia package to compute trap-assisted electron and hole capture in semiconductors
Python package to interact with high-dimensional representations of the chemical elements
A foundational potential energy dataset for materials
Positive and Unlabeled Materials Machine Learning (pumml) is a code that uses semi-supervised machine learning to classify materials from only positive and unlabeled examples.
Materials Design by Monte Carlo Tree Search
An Ontology for the Materials Design Domain
Python Topological Materials (pytopomat) is a code for easy, high-throughput analysis of topological materials.
Tutorial exercises for the OPTIMADE API
A standalone React.js/Redux based web application for the design and visualization of atomistic materials structures. Used at Mat3ra.com and can be deployed in standalone mode.
Computational experiments using SMACT for materials design
JSON schemas and examples representing structural data, characteristic properties, modeling workflows and related data about materials standardizing the diverse landscape of information
Example usage of Exabyte.io platform through its RESTful API: programmatically create materials and modeling workflows, execute simulations on the cloud, analyze data and build machine learning models
Bruker's TOPAS X-ray diffraction calculations parser
Add a description, image, and links to the materials-design topic page so that developers can more easily learn about it.
To associate your repository with the materials-design topic, visit your repo's landing page and select "manage topics."