Pressure swing adsorption process modeling using physics-informed machine learning with transfer learning and labeled data

Pressure swing adsorption process modeling using physics-informed machine learning with transfer learning and labeled data

Pressure swing adsorption (PSA) modeling remains a challenging task since it exhibits strong dynamic and cyclic behavior. This study presents a systematic physics-informed machine learning method that integrates transfer learning and labeled data to construct a spatiotemporal model of the PSA proces...

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Bibliographic Details
Main Authors: Zhiqiang Wu, Yunquan Chen, Bingjian Zhang, Jingzheng Ren, Qinglin Chen, Huan Wang, Chang He
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2025-06-01
Series:Green Chemical Engineering
Subjects:
Physics-informed machine learning
Pressure swing adsorption
Transfer learning
Labeled data
Partial differential equations
Online Access:http://www.sciencedirect.com/science/article/pii/S2666952824000591
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