How AI Improves Polymer Sustainability and Performance

Rising consumer expectations and tightening regulations are pushing manufacturers to accelerate innovation in circular polymer solutions and eliminate harmful additives. Efforts like increasing recycled content, lowering embodied carbon, and removing problematic plasticizers add significant complexity to optimizing polymer grades.

To meet these challenges, industry leaders are turning to AI. Its ability to simultaneously balance a wide range of material properties – and rapidly explore billions of raw material and process combinations – is helping teams respond faster and more effectively.

Attend this webinar to learn how AI is driving more sustainable polymer development.

In this webinar, you'll learn how AI can:

• Design polymer grades that optimize both mechanical performance and socio-environmental factors informed by Life Cycle Analysis (LCA).
• Support confident reformulation of materials to replace environmentally harmful additives.
• Accelerate the development of products with recycled content while addressing the challenges posed by inconsistent feedstock.