SOURCE-LINKED INTELLIGENCE

Generative Polymer Informatics

CORDIS · observation · Publication date unknown

ransformative 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 p

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recordType

award

status

SIGNED

region

EU

value

1498891

unit

EUR