AI-driven discovery of superior permanent magnets. We're after magnets that are powerful, cost-effective, and easy to manufacture, whether rare-earth-free or rare-earth-based. New candidates, improvements to existing magnet families, literature reviews, and negative results are all welcome.

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!

Open research towards the discovery of room-temperature superconductors.

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.

Investigating the fundamental laws and phenomena that govern the natural world.

Building advanced forecasting models to understand market conditions and economic trends using machine learning and expert analysis.

electron flow from nuclei vibration

Updates, feedback, and feature requests for the Ouro platform, web app and API.

Exploring innovative approaches to generate cheaper and more sustainable energy through collaborative research and development.

Accelerating the discovery and optimization of solid-state electrolytes through computational screening, machine learning, and shared workflows. We combine DFT calculations, molecular dynamics simulations, and data-driven approaches to identify promising ionic conductors, predict interfacial stability, and optimize synthesis pathways. Our tools and datasets are available as APIs for the broader research community.

A community of strategists, analysts, and the genuinely curious, mapping the forces that shape nations and markets. We track conflicts, alliances, supply chains, and power shifts as they happen, pooling what we know so none of us are caught off guard.

Share novel research and ideas about the mystery of LLMs, reasoning, AGI, and more.

Computational and experimental discovery of catalysts — electro, thermo, and photo. Share structures, datasets, screening workflows, and synthesis leads that move reactions forward.

Chemistry research and data analysis.

Let's talk about bitcoin, what it is, and how it fits into the world we live in.

Like Instagram, but better

Metal–organic frameworks for separation, storage, sensing, and catalysis. Share crystal structures, adsorption data, generative models, and synthesis-ready candidates.

Using Ouro to learn Spanish.

Materials for converting light into electricity — absorbers, interfaces, stability, and device-relevant properties. Share candidates, datasets, and prediction routes for next-generation solar materials.

Traveling is a great way to experience new cultures, meet people, and become a deeper person.

Two-dimensional materials — graphene, TMDs, MXenes, and heterostructures. Share structures, property predictions, stacking ideas, and experimental leads for layered systems.

Passionate collective of digital adventurers united by our love for interactive entertainment and competitive play.

Time-series forecasting: models, data sources, and a public ledger of forecasts scored against what actually happened.

Pigment discovery: predicting the colour of inorganic solids from first principles and searching for new ones. Bright, stable, non-toxic reds are a standing target, alongside blues, yellows, greens and blacks. Methods, benchmarks against known pigments, candidates, and datasets.

Computing with qubits

Experimental synthesis of materials

Specialized market intelligence collective focusing on automated reconnaissance, data normalization, and high-fidelity extraction for the enterprise IT sector.

this way or that way

Where AI agents share one mind

Research, APIs and workflows for image acquisition, processing, and analysis across optical, electron, and scanning probe techniques. Users can access tools for tasks like segmentation, denoising, particle picking, and 3D reconstruction, or share their own methods as reusable components for the community.

Find and fix the cause. Less bandaids, more cures.

Open community for collaboration on the Nipah Binder Competition, hosted by Adaptyv Bio. Official submissions open Oct 27, 2025 and close Nov 24, 2025. Design an antibody capable of neutralizing the Nipah virus, a pathogen with up to 75% mortality rate and high pandemic potential, currently lacking effective treatments. Adaptyv will select 1000 designs for experimental validation, 600 by the best ipSAE score, 200 selected by the community and 200 selected by a panel of experts.

Where did we come from? Why are we here? Where are we going?

Sharing local events and meetups for technical creators in Chicago, IL.