Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

MaMMoS

Financiado

MAgnetic Multiscale MOdelling Suite

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 material... ver más

31/12/2027

DONAU UNIVERSITAT...

7M€

Presupuesto del proyecto: 7M€

Líder del proyecto

UNIVERSITAT FUR WEITERBILDUNG KREMS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 8 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-11-15

HORIZON-CL4-2023-DIGITAL-EMERGING-01-12: Adaptive multi-scale modelling and... ExpectedOutcome:Projects are expected to contribute to the following outcomes:

I+D

Cerrada hace 1 año

0% 100%

8 Participantes

DONAU UNIVERSITAT KREMS

1.78M€ | Lider

BOSCH

436.86K€ | Participante

1.04M€ | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

TED2021-132214B-I00 LABORATORIO DIGITAL DE METALURGIA 219K€ Cerrado

PROMISE ab initio PRediction Of MaterIal SynthEsis 1M€ Cerrado

PLEC2023-010190 Materiales estructurales 970K€ Cerrado

EEBB-I-12-04193 APLICACION DE TECNICAS COMPUTACIONALES EN EL DISEÑO DE NUEVO... 4K€ Cerrado

SMART PROFILE – Desarrollo de modelos predict... SMART PROFILE – Desarrollo de modelos predictivos en sistema... 148K€ Cerrado

Duración del proyecto: 49 meses Fecha Inicio: 2023-11-15
Fecha Fin: 2027-12-31

Líder del proyecto

UNIVERSITAT FUR WEITERBILDUNG KREMS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 7M€

Descripción del proyecto 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.

Conecta tu I+D

Entra hoy

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores