A physics-informed neural network framework for plant-wide prediction and dynamic control of wastewater treatment.

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Title: A physics-informed neural network framework for plant-wide prediction and dynamic control of wastewater treatment.
Authors: Dai W; State Key Laboratory of Urban-rural Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China., Liu GF; State Key Laboratory of Urban-rural Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China., Ding J; State Key Laboratory of Urban-rural Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China., Wang JY; State Key Laboratory of Urban-rural Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China., Cui CH; State Key Laboratory of Urban-rural Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China., Sun HJ; State Key Laboratory of Urban-rural Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China., Zhang LY; School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China., Pang JW; Harbin Corner Science & Technology Inc., Harbin 150023, China., Zhong L; College of Environment and Ecology, Taiyuan University of Technology, Taiyuan 030024, China., Wu T; School of Urban Planning and Municipal Engineering, Xi'an Polytechnic University, Xi'an 710048, China., Yang SS; State Key Laboratory of Urban-rural Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China. Electronic address: shanshanyang@hit.edu.cn.
Source: Bioresource technology [Bioresour Technol] 2026 Jul 02; Vol. 460, pp. 135275. Date of Electronic Publication: 2026 Jul 02.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Applied Science Country of Publication: England NLM ID: 9889523 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2976 (Electronic) Linking ISSN: 09608524 NLM ISO Abbreviation: Bioresour Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-2976
DOI:10.1016/j.biortech.2026.135275