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

Wednesday, November 18, 2020: 8:00 AM - 9:00 AM
Process Development Division (12) (PreRecorded+)
Sponsor:
Process Research and Innovation
Co-Sponsor(s):
Information Management and Intelligent Systems (10E)
Chair:
Ben Yang Email: yxc@alum.mit.edu
Co-chairs:
David A. Acevedo Email: David.Acevedo@fda.hhs.gov
Li Tan Email: li.tan@bms.com


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


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


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


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


(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 and Bodhisattwa Chaudhuri
See more of this Group/Topical: Process Development Division
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