SMAD
Superconducting Materials Automated Discovery

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.

Materials
Sim types
Researchers
Uptime
Capabilities
DesignInteractive 3D crystal structure editor
SimulatePhysics-based simulations, real-time feedback
AnalyzeExtract properties, visualize results instantly
GenerateAI-driven material discovery and prediction
CollaborateShare and iterate on experiments seamlessly
Access AnywhereFully browser-based, no setup required

Curated workflows & scalable compute

Combine materials data, reproducible workflows, and scalable compute to explore new superconducting phases and optimize known families.

Design & generation

Build candidate structures from templates, chemical rules, or AI models and route them directly into high‑throughput DFT or model Hamiltonian calculations.

Optimization at scale

Run multi‑objective optimization campaigns balancing critical temperature, stability, synthesis feasibility, and cost across large chemical spaces.

Analysis & reporting

Inspect structures, band gaps, energy landscapes, and derived observables, and export reproducible summaries for collaborators or publications.

Tc frontier diagram

Superconductor Tc vs year of discovery. Families use distinct shapes and colours; hover to preview the 2×2×2 supercell or phase diagram, click to lock. Drag the structure view to rotate.

Scale:
Show:
Family:
Formula
Tc (K)
Year
Family
Pressure
Structure
Open publication ↗
Elemental A15/Alloy Cuprate ◇ Iron-based □ Hydride ● Other/Fullerene ▽ Heavy-F ☆

Material Explorer