Applications of Machine Learning to Process Chemistry

This presentation will focus on how machine learning is assisting in solving process chemistry challenges. Multiple use-cases will be presented, along with an overview of emerging techniques. The target audience is generalist chemists who want to learn more about this emerging field.

• An overview of data-driven modelling and prediction in chemistry
• Applications of classical machine learning for reaction design
• Reaction optimization using machine learning
• Synthesis route prediction
• Reaction condition prediction

This online course will take place over two sessions on Monday 28th September 2026 and Tuesday 29th September 2026. PDT: 7.00am-10.00am |CDT: 9.00am-12.00pm |EDT: 10.00am-1.00pm |BST: 3.00pm-6.00pm |CEST: 4.00pm-7.00pm