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Machine learning-aided multiscale design of porous materials tailored to application-specific, hydro-mechanical performance requirements

Objective

Through continuous interaction between computational fluid dynamics, mechanics of solids, material engineering, and machine learning, with my host, I will develop a novel and computationally efficient method, implemented in open-source software, for the multi-scale design of engineered porous materials (EPMs) that meet user-specified hydro-mechanical functional requirements. This computer-aided approach will accelerate the discovery of EPMs and shorten the time for technology development, and is aimed at EPM design for additive Manufacturing (i.e. 3D-printing). The basic notion of the proposed approach is: (1) to employ a dimensionality reduction techniques to obtain a low-dimensional proxy for the high-dimensional problem of characterizing a porous micro-structure, (2) to develop physics-informed neural networks (PINNs) for scale-specific hydro-mechanical simulation of porous media at the micro (pore) scale, the meso (pore-network) scale, and the macro (Darcy) scale, (3) to employ a physics-based coupling mechanism for scale-specific PINNs, allowing them to form a chain of neural networks for hydro-mechanical structure-property-performance (S-P-P) linkage, and (4) to incorporate a topology optimization algorithm for the multi-scale design of porous media. The focus is on fluid-saturated, poroelastic materials, with special emphasis on biomedical applications that require a defined porous structure, such as meniscus implants and bone scaffolds. I will work on the project at the University of Luxembourg (host institute), in collaboration with the University of Strasbourg (secondment institute).

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Programme(s)

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Topic(s)

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Funding Scheme

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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-2022-PF-01

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Coordinator

UNIVERSITE DU LUXEMBOURG
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.

€ 191 760,00
Address
2 PLACE DE L'UNIVERSITE
4365 ESCH-SUR-ALZETTE
Luxembourg

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Region
Luxembourg Luxembourg Luxembourg
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.

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