AIMPLAS promotes the use of artificial intelligence to predict the properties of plastic materials with the POLY-ML project
The initiative seeks to reduce development times, minimise formulation errors and move towards a more digital, efficient and environmentally friendly industry. It involves the participation of Tyris AI and Faperin and seeks to apply AI tools in the industrial sector.
Valencia (3-2-2026).- With the aim of transforming the design of plastic materials, AIMPLAS, the Plastics Technology Center, has launched the POLY-ML project, an R&D initiative that applies advanced machine learning techniques to predict material properties based on their composition and processing conditions.
These techniques make it possible to optimise formulations, reduce the need for experimental testing and improve the efficiency of R&D processes. The project focuses on the development of predictive models capable of anticipating the mechanical, thermal or physical properties of materials.
POLY-ML is funded by the Valencian Institute of Competitiveness and Innovation (IVACE+i) and ERDF funds, with the participation of Tyris AI and FAPERIN. FAPERIN contributes industrial process data to train the models, while Tyris AI provides expertise in applying artificial intelligence in industrial environments.
The project also focuses on developing a tool that allows predictive models to be created even without programming knowledge, making it easier for companies to adopt artificial intelligence and accelerate digital transformation in the plastics sector.
“With the POLY-ML project, we are taking an important step towards the real application of artificial intelligence in the design of plastic materials. Our goal is for the models to be validated in industrial environments,” explains Joan Giner, researcher at the AIMPLAS Characterisation Laboratory.
POLY-ML generates significant benefits in terms of sustainability by reducing laboratory waste and minimising the use of hazardous substances. It also improves occupational health by limiting exposure to chemicals and reduces risks associated with experimental testing.
Economically, the project strengthens the competitiveness of the plastics sector, promotes skilled job creation and enhances technological autonomy in material development.
The project aligns with the RIS3-CV strategy in areas such as digitalisation, sustainability and circular economy, positioning the Valencian Community as a benchmark in the application of artificial intelligence to plastics.
The initiative is supported by IVACE+i through its industrial R&D programmes, with co-funding from the European Regional Development Fund (ERDF).
AIMPLAS, the Plastics Technology Centre, promotes sustainable innovation in plastics, supporting companies through R&D, training, consultancy and technological services such as testing and analysis.
The centre actively contributes to the United Nations Sustainable Development Goals (SDGs) and is part of the Network of Technological Institutes of the Valencian Region (REDIT).