Objective
Responsive soft materials, made of crosslinked polymer networks, have emerged as a promising class of systems. In particular, thermoresponsive hydrogels and microgels are widely used from drug delivery to cell engineering and art restoration. An important feature of such systems is their internal elasticity, which can be tuned according to their preparation protocol and crosslinker concentration. Despite recent progress in their modeling by means of numerical simulations, there is no way to know a priori their structure and elasticity from only their initial constituents, and hence, extensive exploration of initial parameters through simulations and experiments must be performed. To overcome this difficulty, in the present proposal MGELS -Machine-learning polymer Gel’s ELasticity and Structure- I will exploit my existing knowledge on Machine Learning (ML) methods to develop novel tools able to predict structural and elastic properties of hydrogels and microgel particles to design in silico polymer networks with desired features.
The project is based on four objectives. The first is to develop a ML-Neural Network (ML-NN) able to predict the network structure using data from molecular dynamics simulations of microgels and hydrogels already collected from the supervisor. The second is to explore structural and elastic properties of new configurations of networks, following the methods established in the host group. As a third objective, we will create a new database of polymer networks that will be made open access at the end of the project. Finally, we will extend the ML-NN approach to predict elastic properties and to identify the onset of auxetic behavior. With the accomplishment of these goals, we will be able to fully predict polymer networks properties, being very appealing for the soft matter and materials science communities. The scientific outcomes from the action and the development of new skills will help me to establish my future career in academia.
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 computer and information sciences databases
- natural sciences chemical sciences polymer sciences
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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-2022-PF-01
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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.
00185 Roma
Italy
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.