Revolutionising Material R&D: The Impact of AI and Machine Learning on Material Innovation

This session addresses how AI and machine learning are redefining material R&D, from accelerating discovery to optimising material properties. It will explore the balance between machine-driven innovation and human expertise, challenging the traditional R&D paradigms.

Questions for discussion:

  • Can AI replace the intuitive aspect of human-driven material innovation?
  • How are Machine Learning algorithms transforming material property optimisation? 
  • What ethical considerations arise from AI-driven material development?


Confirmed talks: 

Designing new and more sustainable materials with machine learning​

  • Dr. Tom Whitehead, Head of Machine Learning, Intellegens


The Importance of Usability and Scalability in AI Platforms for Materials 

  • Dr. Hannah Melia, Product Marketing Citrine Informatics 


How to Use Data-Pipelines in Machine Learning for Material Science

  • Dr. Jakob Zeitler, Head of R&D, Matterhorn Studio