A new Imperial spinout company will use generative AI to help companies design higher performing materials for applications such as batteries.
Polaron has been launched by a team from Imperial’s Dyson School of Design Engineering to develop generative machine learning algorithms based on Imperial research that could improve the performance of products such as batteries and wind turbines.
The spinout’s technology promises to enable manufacturers of the advanced materials used in these products to accelerate their design by modelling the complex relationships between processing parameters, the microstructures of the materials produced, and the performance of the resulting products.