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

Other Sites & Tools

Technical Groups

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

Chair(s)

Co-chair(s)

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

Presentations

8:00 AM
(288a) Bayesian Optimization of Crude Sulphate Turpentine Conversion to p-Cymene
8:15 AM
(288b) Optimisation of Formulations Using Robotic Experiments Driven By Machine Learning Doe
8:30 AM
(288d) Combining Flow Processing with Machine Learning Accelerated for Accelerated Development and Scaling of New Materials. Case Study: Nanozno Antibacterial Coatings
8:45 AM
(288e) Polyolefin Process Improvement Using Machine Learning
9:00 AM
(288f) Using Artificial Neural Network As a Predictive Tool for Critical Quality Attributes (CQAs) of Continuous Processing of Liposomes

Topics 

Computing and Systems Engineering

Checkout

Paper abstracts are public but to access Extended Abstracts, you must first purchase the conference proceedings.

Checkout

Do you already own this?

Pricing

Individuals

AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

More Conference Links