A coupled reinforcement learning and IDAES process modeling framework for automated conceptual design of energy and chemical systems

Energy Adv., 2023, 2,1735-1751
DOI: 10.1039/D3YA00310H, Paper
Open Access Open Access
Creative Commons Licence  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Dewei Wang, Jie Bao, Miguel A. Zamarripa-Perez, Brandon Paul, Yunxiang Chen, Peiyuan Gao, Tong Ma, Alexander A. Noring, Arun K. S. Iyengar, Daniel T. Schwartz, Erica E. Eggleton, Qizhi He, Andrew Liu, Olga A. Marina, Brian Koeppel, Zhijie Xu
This study introduces an advanced automated system for designing diverse chemical or electrochemical systems, requiring minimal user expertise, and enabling designing and optimization from scratch.
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