2020 Virtual AIChE Annual Meeting

Session: Big Data, Artificial Intelligence, and Machine Learning Examples for Process Research

Chair

Co-Chairs

Li Tan, Bristol-Myers Squibb
David A. Acevedo, U.S. Food and Drug Administration

Presentations

08:00 AM

(288a) Bayesian Optimization of Crude Sulphate Turpentine Conversion to p-Cymene
Danilo Russo, Perman Jorayev, Artur M. Schweidtmann, Alexei A. Lapkin

08:15 AM

(288b) Optimisation of Formulations Using Robotic Experiments Driven By Machine Learning Doe
Liwei Cao, Danilo Russo, Werner Mauer, Huan Huan Gao, Alexei A. Lapkin

08:30 AM

(288d) Combining Flow Processing with Machine Learning Accelerated for Accelerated Development and Scaling of New Materials. Case Study: Nanozno Antibacterial Coatings
Mikhail Kovalev, Nicholas Jose, Alexei A. Lapkin

08:45 AM

(288e) Polyolefin Process Improvement Using Machine Learning
Niket Sharma, Y. Liu

09:00 AM

(288f) Using Artificial Neural Network As a Predictive Tool for Critical Quality Attributes (CQAs) of Continuous Processing of Liposomes
Sameera Sansare, Tibo Duran, Hossein Mohammadiarani, Gowtham Yenduri, Antonio Costa, Xiaoming Xu, Diane Burgess, Bodhisattwa Chaudhuri