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Advanced moDelling of MEMS In Routine and Extreme

CORDIS · observation · Publication date unknown

ased on phenomenological material properties. ADMIRE proposes a multiscale modelling framework rooted in atomistic simulations, which are cleverly extrapolated to the microscale and interpreted using Machine Learning, all to predict material degradation under a wide range of operating conditions. The result will be a new class of smart constitutive laws that will seamlessly integrate in continuum models to quantify the degradation of MEMS during prolonged use or extreme loads. A key advantage is that the effect of defects, microstructure and loads becomes transparent and mechanistic predictions become possible. Materials, engineering and computer sciences are tightly intertwined in this challenging framework. Its probability of success is maximised by reflecting the same mix in the research team and by teaming up with a world leader company in MEMS technology. Impacts will propagate to society, supporting the eco-efficient reusability paradigm, to technology, opening new applications for MEMS, to economic growth, boosting the strategic market of advanced sensors that is already on th

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award

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SIGNED

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EU

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193643.28

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EUR