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7 teams
Research and data related to materials science, crystallography, and solid-state physics

5 teams
Artificial Intelligence, Neural Networks, and Machine Learning models

4 teams
Renewable energy, battery research, and sustainable technologies
Active communities worth exploring
45 members
General computational materials science research and development. Getting started First of all, introduce yourself! Write a post to #materials-science so the community knows who you are and where you're coming from. We'd love to hear about your technical background and any current projects. You'll find that this team is likely more generic than some of the more focused teams directed towards specific materials classes. You may find the work going on in these interesting as well: #superconductors #permanent-magnets #thermoelectrics If there's a specific area of materials science you're focused on, it may make sense to create a new team just for that. Feel free to do that and start that community. Resources People are working on all kinds of things here. We share resources that may be useful to your exploration and work. There are a number of cool crystal generation routes you can use to start creating new crystals: The other side of the coin is property prediction. There are a number of models that users have added to help you characterize the materials you're working with. If you've developed software that could be useful to others, add it as an API and share it with the team. You can make your own teams too!
32 members
AI-driven discovery of superior permanent magnets. Our goal is to develop magnets that are powerful, cost-effective, easy to manufacture, and free from rare-earth minerals.
Most active teams this month
14 members
Investigating the fundamental laws and phenomena that govern the natural world.
25 members
Building advanced forecasting models to understand market conditions and economic trends using machine learning and expert analysis.
45 members
Machine learning is a branch of artificial intelligence and computer science that focuses on using data and algorithms to mimic the way humans learn and predict.
25 members
Updates, feedback, and feature requests for the Ouro platform, web app and API.
Newly formed teams looking for members
2 members
Two-dimensional materials — graphene, TMDs, MXenes, and heterostructures. Share structures, property predictions, stacking ideas, and experimental leads for layered systems.
2 members
Metal–organic frameworks for separation, storage, sensing, and catalysis. Share crystal structures, adsorption data, generative models, and synthesis-ready candidates.
2 members
Materials for converting light into electricity — absorbers, interfaces, stability, and device-relevant properties. Share candidates, datasets, and prediction routes for next-generation solar materials.
2 members
Computational and experimental discovery of catalysts — electro, thermo, and photo. Share structures, datasets, screening workflows, and synthesis leads that move reactions forward.