Project description
Machine learning for advancing polymer technologies
Polymer science plays an increasingly important role in numerous fields and sectors. It holds the potential to discover and create key polymer structures that can lead to significant breakthroughs in fields such as bioengineering, electronics, and even construction. Unfortunately, the process of exploring polymer chemical spaces, creating customised polymer structures, and predicting synthesis routes is costly, slow, and resource-intensive. The ERC-funded genPI project aims to develop the generative polymer informatics paradigm, which will use transformer-based AI to massively advance polymer discovery, design, and development. This solution will be capable of exploring significantly larger chemical spaces while still accurately predicting properties, efficiently creating novel structures with targeted functionalities, and even predicting synthesis feasibility.
Objective
Embarking on a transformative journey, this groundbreaking research proposal unveils generative polymer informatics (genPI)-a revolutionary paradigm that leverages the unprecedented capabilities of transformer-based artificial intelligence to catapult polymer discovery, design, and development into a new era. In a time when sustainable and advanced materials are more crucial than ever, genPI aims to overcome key challenges in polymer science by exploring vast chemical spaces, accurately predicting properties, generating novel structures with targeted functionalities, and forecasting synthesis feasibility. The project is strategically organized into three interconnected work packages: rapid exploration of polymer chemical spaces (WP1), creation of customized polymer structures (WP2), and prediction of synthesis routes (WP3). These are supported by transversal activities that ensure data extraction, workflow integration, and democratization of tools and knowledge. By harnessing machine learning techniques, genPI endeavors to invert the traditional polymer design paradigm, empowering the creation of polymers with precisely engineered properties. This pioneering approach holds the promise of unveiling entirely new classes of polymers with unprecedented characteristics, directly addressing pivotal issues such as environmental sustainability, advanced functionality, and innovative synthesis methods. The project's inherently interdisciplinary nature-melding materials engineering, polymer science, and artificial intelligence-positions it at the vanguard of materials science innovation. Its successful implementation could revolutionize industries from sustainable manufacturing to healthcare, paving the way for a new era in polymer science aligned with global sustainable initiatives. This research not only promises to accelerate polymer discovery but also democratizes access to the advanced built tools, fostering collaboration and innovation across academia and industry.
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.
You need to log in or register to use this function
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.
-
HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
See all projects funded under this programme
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
See all projects funded under this funding scheme
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.
95447 Bayreuth
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.