Objective
Micromechanical finite element (FE) techniques have shown great promise in naturally predicting the key mechanism of fibre bridging, which can significantly improve toughness in fibre-reinforced composites. However, they remain too computationally expensive for practical microstructural design. I will build on the strengths of these micromechanical FE techniques to establish a new, scalable virtual design paradigm. To achieve this, I will develop a Physics-Embedded Deep Learning framework that embeds phase field theory within deep learning models. This innovative tool will enable rapid, high-fidelity virtual testing across a range of microstructures, thereby overcoming the computational barrier. The framework will be demonstrated by addressing the critical problem of transverse cracking. Its primary application will be the design and optimisation of novel twisted hybrid core fibre microstructures, engineered to maximise fibre bridging, enhance toughness, and significantly delay crack initiation and growth. The project builds on my prior contributions in modelling transverse cracking and developing deep learning methods, and will be further advanced by an ideal collaborative environment. It will be carried out at the University of Oxford under the supervision of Prof. Emilio Martínez-Pañeda, a world-leading expert in computational mechanics and phase field modelling, with a secondment at the University of Porto under Prof. Pedro Camanho, an internationally recognised authority on the mechanics of advanced polymer composites. For me, as a fellow, this project is a vital step toward research independence, advancing composite materials through the integration of computational mechanics and deep learning.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology materials engineering composites
- natural sciences chemical sciences polymer sciences
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2025-PF
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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.
OX1 2JD Oxford
United Kingdom
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.