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:
Monday 31st March 2025
Wednesday 1st April 2025
PDT: 7.00am-10.00am | EDT:10.00am-1.00pm | BST: 3.00pm-6.00pm | CEST: 4.00pm-7.00pm
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:
Monday 31st March 2025
Wednesday 1st April 2025
PDT: 7.00am-10.00am | EDT:10.00am-1.00pm | BST: 3.00pm-6.00pm | CEST: 4.00pm-7.00pm