The world's first computational platform that computes electronic structure from first principles without empirical corrections or material-specific parameters. Where DFT approximates, our engine computes.
Built on three decades of foundational research in geometric physics, our GPU-accelerated platform simulates electronic structure and transport from a single governing equation. The result: material property predictions in regimes where no existing tool can operate, delivered before you synthesize a single sample.
They all depend on strongly correlated electrons, and they all exceed the reach of existing simulation. Here is where our first-principles approach changes the game for your research.
Our engine is designed to compute the electronic interactions that govern critical current density from first principles, replacing trial-and-error synthesis with targeted material design.
Designing plasma-facing materials that survive reactor conditions requires simulation at the electron level. Our engine is built to model the coupled electromagnetic environment that existing codes approximate.
Topological insulator design requires computing band structures and edge states from first principles. Our engine is built to deliver the predictions that existing tools cannot.
You tell us the material properties you need and the system you are studying. We scope the simulation and define the computational approach.
Our engine runs first-principles simulations on your candidate materials, predicting properties in regimes where existing tools cannot operate.
You receive validated material candidates with predicted properties, ready for targeted synthesis and testing. Fewer cycles, faster discovery, less wasted spend.
Built by leaders in high-performance computing, numerical physics, and deep-space systems engineering.
Co-founder of the physics research group whose theoretical work Velar’s engine is built on. Nine years at NASA’s Jet Propulsion Laboratory. MS in Astronautical Engineering, USC.
PhD. from Heriot-Watt University, Post-doctoral research at University of Cambridge on scalable numerical methods. Expert in high performance simulation.
Expert in chemistry at the atomic scale. Co-author of published work on quantum spin topology and electron behavior.
If your team is pushing the limits of what current simulation tools can handle, reach out. We work with R&D teams under strict NDA to scope whether our engine can accelerate your materials discovery.
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