Objective
Polymers are three-dimensional, flexible materials composed of macromolecular chains interconnected by crosslinks, which are indispensable in everyday products. Accurate computation of these materials is crucial to avoid trial-and-error synthesis, thereby extending polymer lifetimes and minimizing production waste. To date, continuum mechanics is the only discipline capable of achieving large-scale multi-physics computation of polymers. However, complex mechanical behaviors of polymers present significant challenges, necessitating the development of unconventional continuum theories and advanced machine learning techniques. While the former facilitates the capture of both local and nonlocal behaviors of polymers, the latter ensures model reliability by utilizing rich information from large datasets. Unfortunately, current machine learning approaches, when coupled with immature continuum theories, suffer from limited interpretability and an ad hoc nature. This underscores the need for a theoretically grounded machine learning approach to drive genuine advance in human knowledge.
PolyFun aims to enable machine learning not only to recognize pattern, but also to develop a deeper understanding of data through the principles of continuum mechanics and polymer physics. This will be achieved by representing polymers as reproducing kernel Hilbert spaces and defining their structural and topological properties via these physical insights. PolyFun consists of two stages. Stage 1 focuses on learning from polymeric data and the domain knowledge of continuum and polymer mechanics. Stage 2 extrapolates understanding gained in Stage 1 to learn from real-world data and further enhance the computational scalability of the methodology. PolyFun’s unique perspective serves as a unified scientific language that bridges various disciplines (polymer physics, continuum mechanics and machine learning), fundamentally transforming the way we study and research in continuum interdisciplinary mechanics.
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.
- natural sciences chemical sciences polymer sciences
- natural sciences computer and information sciences computational science multiphysics
- natural sciences computer and information sciences artificial intelligence machine 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.1.1 - European Research Council (ERC)
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-ERC - HORIZON ERC Grants
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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) ERC-2025-STG
See all projects funded under this callHost institution
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.
52062 Aachen
Germany
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.