Panel: Machine Learning for Sustainable Materials: Optimising Production and Performance

Thursday, 10 April 2025

Machine learning is transforming how we design, produce, and optimise sustainable materials. This panel explores how AI-driven modelling accelerates material discovery, reduces waste, and enhances performance across industries. Experts will discuss real-world applications, from improving manufacturing efficiency to predicting material properties with precision. What challenges remain in integrating AI into traditional workflows? How can data-driven insights drive more sustainable choices? Join us to explore the intersection of machine learning and materials science—and what it means for the future of innovation and sustainability. 

 

Discussion Points:  

• How is machine learning accelerating the discovery and development of sustainable materials, and what breakthroughs have we seen so far? 

• What are the biggest challenges in integrating AI-driven optimisation into existing material production processes? 

• How can machine learning help balance sustainability, cost-effectiveness, and performance in material design? 

• What role does data quality and availability play in the success of AI models for sustainable materials innovation?