Machine Learning for Carbon Capture & Battery Discovery

This on-demand webinar explores applications of machine learning in materials research for carbon capture and battery technologies.

 

 

 

 

Discover how machine learning can support the transition to net zero by accelerating materials research for carbon capture and battery technologies.

  
 We heard from:

• Dr Sam Cooper, Associate Professor in Artificial Intelligence for Materials Design, Imperial College London - Small features, big impact: Designing at the microscale with generative AI
• Professor Jacqueline Cole, Head of Molecular Engineering, University of Cambridge - Auto-assembly of knowledge for battery discovery using AI
• Dr Nakul Rampal, BIGMaP Fellow, Bakar Institute of Digital Materials for the Planet, University of California, Berkeley - Advancing reticular chemistry with generative AI