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2026 Journal Article Efficient reinforcement learning for urban drainage control via a neural network-based model using truncated and parallel rolloutsZhang, Zhiyu, Tian, Wenchong, Liao, Zhenliang and Yuan, Zhiguo (2026). Efficient reinforcement learning for urban drainage control via a neural network-based model using truncated and parallel rollouts. Water Research, 305 126458, 1-11. doi: 10.1016/j.watres.2026.126458 |
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2026 Journal Article Physics-informed graph inference and prediction for global state estimation in water distribution networksMan, Yacan, Zhou, Xiao, Tian, Wenchong, Yuan, Rui, Su, Kuizu and Yuan, Zhiguo (2026). Physics-informed graph inference and prediction for global state estimation in water distribution networks. Water Research, 304 126386, 126386-304. doi: 10.1016/j.watres.2026.126386 |
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2026 Journal Article Toward advanced management of sludge bulking: An explainable evaluation framework to quantify and improve large language model cognitive capabilitiesXu, Boyan, Fan, Ning, Zhang, Chuankun, Xu, Guangming, Yu, Huarong, Zeng, Huabin, Tong, Rui, Yu, Kaichang, Yuan, Zhiguo and Ng, How Yong (2026). Toward advanced management of sludge bulking: An explainable evaluation framework to quantify and improve large language model cognitive capabilities. Water Research, 305 126492, 126492. doi: 10.1016/j.watres.2026.126492 |
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2026 Journal Article A graph-based frequency-domain model enables highly efficient modelling of sewer network hydraulicsLi, Shixun, Tian, Wenchong, Zhang, Zhiyu, Zeng, Wei and Yuan, Zhiguo (2026). A graph-based frequency-domain model enables highly efficient modelling of sewer network hydraulics. Water Research, 303 126275, 1-13. doi: 10.1016/j.watres.2026.126275 |
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2026 Journal Article Making waves: model transfer as a key pathway to improving the generalization of machine learning in wastewater treatment engineeringWang, Yu-Qi, Tian, Wenchong, Wang, Hong-Cheng, Wang, Ai-Jie and Yuan, Zhiguo (2026). Making waves: model transfer as a key pathway to improving the generalization of machine learning in wastewater treatment engineering. Water Research, 303 126212, 1-7. doi: 10.1016/j.watres.2026.126212 |
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2026 Journal Article Substantial N <sub>2</sub> O Accumulation under Acidic Oxic Conditions Driven by Constrained N <sub>2</sub> O Reduction in a Denitrifying ConsortiumSu, Zicheng, Liu, Tao, Zhao, Jing, Evans, Paul, Yuan, Zhiguo, Guo, Jianhua and Zheng, Min (2026). Substantial N 2 O Accumulation under Acidic Oxic Conditions Driven by Constrained N 2 O Reduction in a Denitrifying Consortium. Environmental Science & Technology acs.est.6c03705. doi: 10.1021/acs.est.6c03705 |
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2026 Journal Article Editorial: AI and big data integration in orthopedic regenerative medicineYang, Zhen, Yuan, Zhiguo, Wu, Xiaohao and Lin, Jianjing (2026). Editorial: AI and big data integration in orthopedic regenerative medicine. Frontiers in Cell and Developmental Biology, 14 1892774, 1-3. doi: 10.3389/fcell.2026.1892774 |
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2026 Journal Article Reconsidering septic tanksRoelants, Tibo, Zheng, Min, Saerens, Bart, Van Hal, Myrthe, van Loosdrecht, Mark C. M., Yuan, Zhiguo and Volcke, Eveline I. P. (2026). Reconsidering septic tanks. Acs Es&T Engineering, 6 (6), 1741-1753. doi: 10.1021/acsestengg.6c00129 |
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2026 Journal Article A simple model for long-term prediction of sewage flow in a changing climateGe, Jingyu, Li, Jiuling, Qiu, Ruihong, Shi, Tao, Wang, Shuting, Huang, Zi and Yuan, Zhiguo (2026). A simple model for long-term prediction of sewage flow in a changing climate. Water Research, 292 125359, 1-10. doi: 10.1016/j.watres.2026.125359 |
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2026 Journal Article Making waves: beyond adoption of foundation models - charting opportunities and challenges of LLM-Agents for intelligent wastewater treatment plantsXu, Boyan, Fan, Ning, Li, Zihao, Xu, Guangming, Su, Qingxian, Yuan, Zhiguo and Ng, How Yong (2026). Making waves: beyond adoption of foundation models - charting opportunities and challenges of LLM-Agents for intelligent wastewater treatment plants. Water Research, 291 125213, 1-9. doi: 10.1016/j.watres.2025.125213 |
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2026 Journal Article Differentiable neural network-based models enable gradient-based optimization for model predictive control of urban drainage networksZhang, Zhiyu, Tian, Wenchong, Liao, Zhenliang and Yuan, Zhiguo (2026). Differentiable neural network-based models enable gradient-based optimization for model predictive control of urban drainage networks. Water Research, 291 125188, 1-11. doi: 10.1016/j.watres.2025.125188 |
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2026 Journal Article Methanoperedenaceae archaea: a 20-year research journeyLiu, Tao, Zhang, Xueqin, Hu, Shihu, Yuan, Zhiguo and Guo, Jianhua (2026). Methanoperedenaceae archaea: a 20-year research journey. Nature Communications, 17 (1) 3172, 1-17. doi: 10.1038/s41467-026-69699-0 |
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2026 Journal Article A simple disinfection device for families in underdeveloped regionsWang, Xingwei, Li, Ruixue, Wang, Yihan, Jin, Yushi, Wang, Fan, Guo, Hengyu, Chen, Jie, Yuan, Zhiguo and Zhou, Xiaohong (2026). A simple disinfection device for families in underdeveloped regions. ACS Nano, 20 (8) acsnano.5c13095, 6609-6621. doi: 10.1021/acsnano.5c13095 |
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2026 Journal Article Estimating methane emissions from global sewer networksSharma, Keshab, Li, Jiuling, Liu, Tao, Willis, John, Liu, Yiwen, Zhang, Zhiyu and Yuan, Zhiguo (2026). Estimating methane emissions from global sewer networks. Nature Water, 4 (2), 196-205. doi: 10.1038/s44221-025-00574-w |
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2026 Journal Article Editorial: Gratitude to our distinguished associate editors and reviewersYuan, Zhiguo (2026). Editorial: Gratitude to our distinguished associate editors and reviewers. Water Research X, 30 100516, 100516-30. doi: 10.1016/j.wroa.2026.100516 |
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2026 Journal Article Extracellular electron transfer enables methanol fermentation in acetogen Eubacterium limosumCao, Song, Zhang, Xueqin, Wood, Jamin C., Yuan, Zhiguo and Virdis, Bernardino (2026). Extracellular electron transfer enables methanol fermentation in acetogen Eubacterium limosum. Environmental Science and Technology, 60 (5) acs.est.5c09007, 4112-4123. doi: 10.1021/acs.est.5c09007 |
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2026 Journal Article Pyrogenic carbon-stimulated nitrate-dependent anaerobic methane oxidation: insights into redox activity and conductivity in anaerobic methanotrophic archaea metabolism and microbial dynamicsCai, Fangrui, Wang, Yu, Xie, Mengying, Li, Guanbin, Wang, Suicao, Daygon, Venea Dara, Tian, Dihua, Ni, Gaofeng, Liu, Xiang, Zhang, Run, Lei, Lirong, Yuan, Zhiguo, Guo, Jianhua, Zhang, Xueqin and Hu, Shihu (2026). Pyrogenic carbon-stimulated nitrate-dependent anaerobic methane oxidation: insights into redox activity and conductivity in anaerobic methanotrophic archaea metabolism and microbial dynamics. Water Research, 289 (Pt A) 124798, 124798. doi: 10.1016/j.watres.2025.124798 |
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2026 Journal Article A knowledge-data fusion framework accelerates deep reinforcement learning for real-time control of urban drainage systemsTian, Wenchong, Zhang, Zhiyu, Wang, Xuan, Yan, Hexiang, Liao, Zhenliang, Xin, Kunlun, Tao, Tao and Yuan, Zhiguo (2026). A knowledge-data fusion framework accelerates deep reinforcement learning for real-time control of urban drainage systems. Water Research, 289 (Part A) 124901, 1-11. doi: 10.1016/j.watres.2025.124901 |
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2025 Journal Article Combining nonionic DES design with high-gravity technology to advance sustainable gas absorption: CO2 capture as a case studyQin, Hao, Pang, Mintao, Wei, Fanjing, Yuan, Zhiguo, Jiao, Weizhou, Qi, Guisheng and Liu, Youzhi (2025). Combining nonionic DES design with high-gravity technology to advance sustainable gas absorption: CO2 capture as a case study. ACS Sustainable Chemistry and Engineering, 13 (49), 21343-21352. doi: 10.1021/acssuschemeng.5c10986 |
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2025 Journal Article Low-cost, data-efficient, on-device soft sensors for sewer flow monitoring—learning from adjacent water level sensorsLin, Ruozhou, Tian, Wenchong, Qiu, Ruihong, Hu, Lihan and Yuan, Zhiguo (2025). Low-cost, data-efficient, on-device soft sensors for sewer flow monitoring—learning from adjacent water level sensors. Water Research X, 29 100415, 1-10. doi: 10.1016/j.wroa.2025.100415 |
