GenMat uses quantum technology to enable its clients to carry out materials discovery all the way to raw materials procurement, driven by the power of artificial intelligence.
GenMat is expanding the boundaries of human capabilities by applying fundamentally new understandings of material properties at the quantum level.
The company leverages classical machine learning methods, hybrid quantum-probabilistic methods, and quantum computing methods to accelerate breakthroughs in materials engineering.
Developing efficient quantum technology models
GenMat’s world-class team of quantum chemists, experimentalists, and quantum computing scientists develop classical and quantum machine learning models for electronic structure calculations, molecular dynamics simulations, and multi-scale simulations.
These models are then validated experimentally.
The company’s quantum technology models have been refined to increase manufacturing efficiency behind silicon-based semiconductors and accelerate R&D for post-silicon semiconductors.
It is currently being optimised to broaden the domain of applications to photovoltaics, superconductors, and batteries in the near future.
GenMat is the solution to issues with advanced material development
The development of many tremendously beneficial technologies is being hindered by the prohibitively high research and development costs of advanced materials.
GenMat uses quantum-ready artificial intelligence and machine learning models to determine and access the required materials, reducing costs and shortening the time needed to develop new technologies.
These solutions enable GenMat’s clients to generate high-quality AI training datasets customised to their specific business needs and apply state-of-the-art quantum technology models to learn from this data.
Therefore, clients can utilise GenMat’s proprietary post-processing products and services to make intelligent design decisions that optimise the manufacturing of their target materials.
