Machine learning meets continuous flow chemistry: Automated process optimization | AISC

For slides and more information on the paper, visit Speaker: Dr. Alexei Lapkin; Discussion Facilitator: Mehrshad Esfahani Motivation: Automated development of chemical processes requires access to sophisticated algorithms for multi-objective optimization, since single-objective optimization fails to identify the trade-offs between conflicting performance criteria. This study reports