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AssigneeInternational Business Machines Corporation
InventorsDmitry Zubarev, Victoria A. Piunova, Nathaniel H. Park, James L. Hedrick, Sarath Swaminathan
Estimating the term…
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.
A system, comprising:
A computer-implemented method, comprising:
A computer program product for controlling a chemical reactor, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
Dependencies are inferred from the claim text.