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MAgnetic Multiscale MOdelling Suite

Project description

Magnetic materials for a greener future

Magnetic materials are essential for technologies in energy, communication, and information systems. However, developing new materials and devices is challenging because magnetic properties depend on complex interactions at different scales. These challenges slow down innovation and make it harder to create sustainable solutions. Better tools are needed to design and optimise magnetic materials efficiently. In this context, the EU-funded MaMMoS project aims to solve this by creating a multiscale magnetic modelling suite. This open-source tool will combine simulations, experiments, and artificial intelligence to speed up development. It will help design eco-friendly magnets for electric machines and optimise sensors for greater accuracy. By collaborating with industry and researchers, MaMMoS will support Europe’s green goals.

Objective

Magnetic materials are essential for many applications in energy, information, and communication technologies. However, the complex phenomena at different length and time scales often limit the development of new magnetic materials and devices. The goal of this project is to develop a magnetic multiscale modeling suite that will allow the design and optimisation of magnetic materials and devices based on multiscale modelling, characterisation, and numerical optimisation. To achieve interoperability between software and analysis tools, we will establish a domain ontology for magnetic materials. We will collaborate with EU magnet industry to create standards for linking simulation software for magnetic materials from first principles simulations and micromagnetics to device level simulators. MaMMoS will use artificial intelligence (AI) to fuse modeling and characterization data. AI methods will identify and correct systematic errors in the simulation data, enabling more accurate predictions. Moreover, AI models can fill gaps where measurements are not available. AI models can also serve as a surrogate in multi-objective optimisation. Optimisation will guide further experiments or simulations, reducing the development time. In MaMMoS, we will apply this approach to speed up the development of permanent magnets with reduced critical elements for electric machines and to optimise the layout of magnetic field sensors for high linearity range. The MaMMoS software will be validated against benchmarks defined according to the industrial requirements for electric machine and sensor design. The multiscale magnetic materials modeling suite will be made open source to enable easy access to high-end simulation tools. Interoperability will facilitate data sharing and reuse among researchers and industries. Interpretable machine learning will reveal insights into the physics and chemistry of magnetic materials and guide the discovery of new materials for the European green deal.

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Topic(s)

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Funding Scheme

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HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

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(opens in new window) HORIZON-CL4-2023-DIGITAL-EMERGING-01

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Coordinator

UNIVERSITAT FUR WEITERBILDUNG KREMS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 778 240,00
Address
DR KARL DORREK STRASSE 30
3500 KREMS
Austria

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Region
Ostösterreich Niederösterreich Waldviertel
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 778 240,00

Participants (7)

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