-
公开(公告)号:US11520310B2
公开(公告)日:2022-12-06
申请号:US16444565
申请日:2019-06-18
发明人: Dmitry Zubarev , Victoria A. Piunova , Nathaniel H. Park , James L. Hedrick , Sarath Swaminathan
IPC分类号: G05B19/4155 , G06N20/00 , G05B13/02
摘要: 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.