About This Course
This course focuses on how machine learning is helping to solve process chemistry challenges in the pharmaceutical and fine chemical industries.
Multiple contemporary use-cases will be presented while providing a basic overview of the underlying algorithms and methods without knowing how to code. The target audience is industrial organic process 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
Who Should Attend
- The target audience is generalist chemists who want to learn more about this emerging field. No experience in coding, artificial intelligence or machine learning is assumed.
- Attendees should note that topics such as Large Language Models, Computer Vision, and Intelligent Robotics are covered the “Applications of Artificial Intelligence to Process Chemistry” short course.