2020 Virtual AIChE Annual Meeting

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

Chair

Co-Chairs

Tan, L., Bristol-Myers Squibb
Acevedo, D. A., U.S. Food and Drug Administration

Presentations

08:00 AM

(288a) Bayesian Optimization of Crude Sulphate Turpentine Conversion to p-Cymene
Russo, D., Jorayev, P., Schweidtmann, A. M., Lapkin, A. A.

08:15 AM

(288b) Optimisation of Formulations Using Robotic Experiments Driven By Machine Learning Doe
Cao, L., Russo, D., Mauer, W., Gao, H. H., Lapkin, A. A.

08:30 AM

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

08:45 AM

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

09:00 AM

(288f) Using Artificial Neural Network As a Predictive Tool for Critical Quality Attributes (CQAs) of Continuous Processing of Liposomes
Sansare, S., Duran, T., Mohammadiarani, H., Yenduri, G., Costa, A., Xu, X., Burgess, D., Chaudhuri, B.