Design crystal structures, run physics-based simulations, and explore material properties in real time — enhanced by advanced visualization and AI-driven material generation. One seamless platform for advanced materials research, accessible directly in your browser.
Combine materials data, reproducible workflows, and scalable compute to explore new superconducting phases and optimize known families.
Build candidate structures from templates, chemical rules, or AI models and route them directly into high-throughput DFT or model Hamiltonian calculations.
Open CrystalForge →Run multi-objective optimization campaigns balancing critical temperature, stability, synthesis feasibility, and cost across large chemical spaces.
Explore workflows →Inspect structures, band gaps, energy landscapes, and derived observables. Export reproducible summaries for collaborators or publications.
Open Analysis →Tc frontier diagram
Superconductor Tc vs year of discovery. Hover a point to preview its crystal structure or phase diagram. Drag the structure view to rotate.
Browse 180k+ superconducting structures, filter by family, Tc, and pressure.
One platform connecting computation, ML, lab automation, and collaboration — with full audit trails.
From structure generation through DFT, MD, and Monte Carlo simulations — all connected, all reproducible, all in one place.
We believe room-temperature superconductivity is within reach. Our mission is to compress the materials discovery cycle from decades to days using AI-driven automation.
Every computed structure, every synthesis attempt, every measurement — shared openly so the global research community builds on each other's work.
We ship reproducibility tooling alongside every discovery. If a result can't be independently verified, it doesn't go in the database.