Designing magnetic metamaterials to exhibit specific properties via trial-and-error is slow, costly, and limited by the large combinatorial space of possible geometries and parameters.
We have used simulations from our industry-leading micromagnetics simulation software to train a machine learning techniques to enable rapid inverse-design of magnetic metamaterials.
The Process
Our trained inverse-design system takes your desired characteristics, via an excitation spectrum, and predicts input parameters and structure.
High-Performance, Cloud Native Solution
Our solver and inverse design solution are built from the ground up to run in the cloud, or on-prem on your HPC.
Research Driven. Industry Ready.
Our solutions are developed from world-leading research, ready for use in your organisation.
