Optimization and Machine Learning in Chemical Manufacturing | AIChE

Optimization and Machine Learning in Chemical Manufacturing


Rajagopalan, S., Dow Inc.

With the advances in machine-learning and more wide-spread deployment of ML-models in the chemical and energy industries, efficient optimization strategies for data-driven and hybrid models are becoming increasingly important. This session invites papers focused on the application of optimization to data-driven models in manufacturing. Topics of interest include applications, theoretical considerations, new challenges, algorithms, and development and deployment workflows for all kinds of optimization challenges in the chemical industry.



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


Do you already own this?



AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
Employees of CCPS Member Companies $150.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00