International Business Machines Corporation

Sarath Swaminathan

James L Hedrick

Nathaniel H Park

Victoria A Piunova

Dmitry Zubarev

Techniques regarding autonomously controlling one or more chemical reactors using generative machine learning models are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a model component that can build a generative machine learning model based on training data regarding a past chemical reactor operation. The generative machine learning model can generate a recommended chemical reactor control setting for experimental discovery of a polymer.

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Santa Clara, CA, United States of America

Sarath Swaminathan