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2027 Journal Article Toward the full utilization of storage capacity: Urban drainage system operation integrating deep reinforcement learning and green infrastructureWu, Xinran, Tian, Wenchong, Zhang, Zhiyu, Stocchino, Alessandro, He, Xinyu, Liao, Zhenliang and Yuan, Zhiguo (2027). Toward the full utilization of storage capacity: Urban drainage system operation integrating deep reinforcement learning and green infrastructure. Water Research, 308 (Pt A) 126788, 126788. doi: 10.1016/j.watres.2026.126788 |
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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, 126492-305. 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 IS-RPB-intensified resource utilization of coal fly ash coupled with multidimensional techno-economic and life cycle assessmentYuan, Zhiguo, Guo, Zhong, Dang, Chunge, Zhang, Shuli, Liu, Youzhi and Wang, Ruichen (2026). IS-RPB-intensified resource utilization of coal fly ash coupled with multidimensional techno-economic and life cycle assessment. Process Safety and Environmental Protection, 217 109384, 109384-217. doi: 10.1016/j.psep.2026.109384 |
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2026 Journal Article Surface-Charge-Regulated MoS2 Membrane for Induced Agglomeration and Efficient Removal of NanopollutantsZheng, Weikang, Yang, Qutong, Sun, Mingzi, Hu, Honglu, Zhang, Yue, Yan, Ruixin, Zhou, Yang, Fang, Jingyun, An, Alicia Kyoungjin, Tang, Chuyang Y., Yuan, Zhiguo, Leung, Kenneth M. Y., Huang, Bolong and Zeng, Zhiyuan (2026). Surface-Charge-Regulated MoS2 Membrane for Induced Agglomeration and Efficient Removal of Nanopollutants. Nano Letters, 26 (34), 11305-11313. doi: 10.1021/acs.nanolett.6c02107 |
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2026 Journal Article Enabling High-Performance Zinc-Ion Batteries with Selenium-Doped VO <sub>2</sub> Cathodes: Insights into Structural Regulation and Kinetics EnhancementBai, Mengmeng, Wang, Qiao, Liu, Xiaoqing, Chen, Lichun, Zhang, Yujie, Qi, Guisheng, Yuan, Zhiguo, Yu, Chuang, Jiao, Weizhou and Liu, Youzhi (2026). Enabling High-Performance Zinc-Ion Batteries with Selenium-Doped VO 2 Cathodes: Insights into Structural Regulation and Kinetics Enhancement. Industrial & Engineering Chemistry Research, 65 (30) acs.iecr.6c02441, 15907-15915. doi: 10.1021/acs.iecr.6c02441 |
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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 |
