The biggest challenges in Materials Design are functionality, durability, life, cost, and sustainability. Modelling and simulation are very efficient methods that can assist researchers, developers, and designers in meeting these challenges. We’ve built a materials discovery platform that uses Multiphysics simulations and empirical data to accelerate materials discovery.
Quantum computers let us calculate the previously impossible math to predict how a material will behave under different conditions and in combinations with other materials. We will eventually remove the need for humans to wait around for discovery to happen through the slow and blind process of current materials design. As Quantum Computers become more powerful, our simulations will become hyper realistic to the point where our system provides reactive feedback to the designer and guides them to the real world steps in improving the material they’re interested in. ReactiveQ will be at the center of a world where materials such as High Temperature Superconductors, Ultra High Capacity Sustainable Batteries, and Pharmaceuticals are computationally designed, not discovered.
What We've Achieved
Developed novel Quantum-Classical algorithms for material design optimization
Implemented some of the world’s first Quantum backed Battery Simulations
Assembled a powerful Board of Advisors ranging from Battery researchers to the COO of a large company.
Established partnership with D-Wave, the pioneer of Quantum Computing hardware
Received funding from prominent investors including Bloomberg’s Venture Capital arm, Creative Destruction Labs, DCVC
Highlighted in D-Wave’s 2018 Qubits Video
Established connections with leading Executives at Autodesk and Volkswagen
Accepted into world’s first Quantum Machine Learning incubator