Imagine trying to bake a perfect cake but having to guess the ingredients through thousands of failed attempts. This project builds a smart digital kitchen that predicts exactly how new magnetic materials will behave before they are even made. It uses AI to fill in the blanks where data is missing, making the discovery of green magnets much faster.
Developing new magnetic materials is currently too slow and expensive, relying on trial-and-error. Additionally, the industry is overly dependent on rare-earth elements, creating geopolitical and economic risks.
An open-source multiscale modelling suite and a domain ontology for magnetic materials. It includes AI tools to correct simulation errors and optimize device layouts.
If you are an EV motor manufacturer dealing with high costs and supply risks of rare-earth elements — this project developed a multiscale modelling suite that accelerates the discovery of permanent magnets with reduced critical elements. This reduces dependence on volatile raw material markets.
If you are a wind turbine producer dealing with the environmental impact of magnet extraction — this project developed AI-fused simulation tools that optimize material design. This helps create more sustainable generators for the green transition.
If you are a sensor developer dealing with low linearity ranges in magnetic field sensors — this project developed numerical optimization tools to refine sensor layouts. This leads to higher precision and better device performance.
Based on available project data, the MaMMoS software will be made open source, meaning it is designed for easy access rather than a commercial license fee.
The software is validated against benchmarks defined according to industrial requirements for electric machine and sensor design, suggesting it is built for industrial application.
The project explicitly aims to make the multiscale magnetic materials modeling suite open source to facilitate data sharing and reuse among researchers and industries.
The project establishes a domain ontology and common language to ensure interoperability between first-principles simulations, micromagnetics, and device-level simulators.
The project period runs from 2024-01-01 to 2027-12-31, with deliverables being produced throughout this window.
The consortium consists of 8 partners across 4 countries (AT, DE, FR, SE). It features a balanced mix of 3 universities, 3 research organizations, and 2 industrial partners, resulting in a 25% industry ratio. This structure suggests a strong bridge between academic theory and practical industrial application.
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