Artificial intelligence supports plastics development

The POLY-ML project aims to develop predictive models to estimate mechanical, thermal, and physical material properties early in the development process, reducing reliance on extensive experimental testing.
POLY-ML uses data-driven approaches to enable faster and more reliable decision-making during formulation design, contributing to shorter development cycles and lower material consumption.
Funded by the Valencian Institute of Competitiveness and Innovation and the European Regional Development Fund, the project partners with Tyris AI and FAPERIN to implement artificial intelligence and provide process and material data.
The project seeks to develop a user-friendly software tool that allows the creation and use of predictive models without requiring programming skills, aiming to facilitate the adoption of artificial intelligence in plastics processing.
POLY-ML addresses sustainability by reducing laboratory waste and chemical use while improving occupational safety by minimizing exposure to hazardous materials during testing.
The project supports the competitiveness of the plastics industry in the Valencian Community and promotes the development of digital competencies within the regional industrial ecosystem.
POLY-ML is aligned with the RIS3-CV regional innovation strategy, focusing on digitalization, sustainability, circular economy, and collaboration between industrial and research institutions.