Using AI to Reduce Costs in PU Foam Development

Reducing raw material and processing costs, such as curing times and temperatures, remains a major challenge across all material classes. This issue is compounded for polyurethane (PU) foams by the need to preserve important mechanical qualities while still meeting critical flammability regulations.

About the Webinar

This webinar will walk through a case study demonstrating how AI can optimize PU foam for cost, mechanical performance, and flame retardancy by combining domain knowledge with AI-driven experimentation.

The speakers will also discuss a successful project in which Huntsman Building Solutions employed the Citrine Platform to predict performance in large-scale fire tests, resulting in significant development time savings.

Finally, the webinar will provide practical advice on how to accelerate early successes in AI materials initiatives.

Who Should Attend?

• Product development leaders who want to reduce risk in certification exams
• Product developers interested in using AI to better understand their chemistry
• Business leaders who want to reduce ingredient prices without compromising product performance

Why You Should Attend

• Understand AI's ease of use and minimal data requirements
• Learn how AI can decrease costs and ensure compliance
• Understand how product specialists may benefit from AI rather than being displaced by it