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Advanced moDelling of MEMS In Routine and Extreme

Project description

Multiscale modelling to predict the degradation of micro-electromechanical systems

Sensors for devices such as smartphones and drones rely on inertial micro-electromechanical systems (MEMS). In some extreme applications MEMS may be inapplicable, while in others they are irreplaceable if they fail. Meanwhile, in consumer applications, products tend to become obsolete before the MEM’s end of life. Supported by the Marie Skłodowska-Curie Actions programme, the ADMIRE project aims to address both these challenges by developing a multiscale modelling framework based on atomic-scale simulations. These can be extrapolated and interpreted using machine learning to estimate material degradation under various operating conditions. As a result, ADMIRE will create a new class of smart constitutive laws that enable integration in continuum models to quantify the degradation of MEMS during extensive use or extreme loads.

Objective

Key sensors for advanced and everyday technology, such as smartphones and drones, rely on inertial micro-electro-mechanical systems (MEMS). In some extreme applications they cannot yet be used, in others they cannot be substituted upon failure. Contrarily, in consumer applications they are not exploited to the end of life, in a wasteful planned obsolescence cycle. Advanced moDelling of MEMS In Routine and Extreme (ADMIRE) plans to tackle both problems by disrupting the current design practice that relies on empirical approaches based 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 the rise, and to the leadership of Europe in this competitive field.

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2024-PF-01

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Coordinator

POLITECNICO DI MILANO
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.

€ 193 643,28
Address
PIAZZA LEONARDO DA VINCI 32
20133 Milano
Italy

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Region
Nord-Ovest Lombardia Milano
Activity type
Higher or Secondary Education Establishments
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Total cost

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