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RESEARCH PAPER · Environmental Science & Technology · 2025

Machine Learning Reveals Key Adsorption Mechanisms for Oxyanions Based on Combination of Experimental and Published Literature Data

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Machine Learning Reveals Key Adsorption Mechanisms for Oxyanions Based on Combination of Experimental and Published Literature DataOriginalMachine learning-aided design of adapted water treatment adsorbents: Advances, challenges, and opportunities10Machine Learning-Guided Identification of EHOMO-Associated Pollutant Reactivity in Piezocatalytic Persulfate Systems0Machine Learning-Guided Identification of EHOMO-Associated Pollutant Reactivity in Piezocatalytic Persulfate Systems0Two-stage interpretable machine learning for hydrometallurgical recycling of spent LiFePO 4 batteries: integrating pretreatment and leaching for process optimization0Graph-based molecular embedding and machine learning for accurate prediction of CO2 absorption in amine solutions0Unraveling the ranitidine removal mechanism in a novel riboflavin-mediated ultraviolet/peracetic acid system: An integrated density functional theory-machine learning framework2Improving Kinetic Prediction and Structural-Electronic Mechanistic Coherence in the Fenton Process via a Cross-Scale Machine-Learning Framework2Machine learning prediction of soil adsorption coefficients for industry-related aromatic contaminants: Molecular drivers and global distribution insights0Where Machine Learning Fails in Predicting Emerging Contaminant Adsorption: A Decision-Oriented Framework for Model Credibility and Transferability2Machine learning-guided identification of EHOMO-associated pollutant reactivity in piezocatalytic persulfate systems0Three-dimensional settling map for intelligent detection of activated sludge (AS) properties and health evaluation of AS based wastewater treatment0A domain-enhanced multi-agent framework for trustworthy literature screening in water research0Immobilization of fungal cells on positively charged cyclodextrin-based carriers: Enhanced PhAC degradation and multi-omics implications0Enhancing implementation efficiency and accuracy of process optimization with a prior knowledge-centric few-shot learning framework0Redefining advanced oxidation processes for low-carbon water treatment0

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  1. Machine learning-aided design of adapted water treatment adsorbents: Advances, challenges, and opportunities

    Chemical Engineering Journal · 2025-11-28

    Ling Yuan, Sheng Li, Yuxuan Ma, Han Zhang, Chen Chen, Weiming Zhang, Yanyang Zhang, Ming Hua, Lu Lv, Bingcai Pan

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  2. Machine Learning-Guided Identification of EHOMO-Associated Pollutant Reactivity in Piezocatalytic Persulfate Systems

    SSRN Electronic Journal · 2026-01-01

    Zhonghua Wang, Hui Li, xiuping Sun, C S Liu, Wenkang Shi, S X, Qiao Wang, Bin Ji

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  3. Machine Learning-Guided Identification of EHOMO-Associated Pollutant Reactivity in Piezocatalytic Persulfate Systems

    SSRN Electronic Journal · 2026-01-01

    Zhonghua Wang, Hui Li, xiuping Sun, C S Liu, Wenkang Shi, S X, Qiao Wang, Bin Ji

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  4. Two-stage interpretable machine learning for hydrometallurgical recycling of spent LiFePO 4 batteries: integrating pretreatment and leaching for process optimization

    Green Chemistry · 2026-01-01

    Wenfang Gao, Yanyan Hu, Yuting Wang, Yu Shi, Xiaohong Zheng, Guangming Zhang, Zhi H. I. Sun, Longyi Lv

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  5. Graph-based molecular embedding and machine learning for accurate prediction of CO2 absorption in amine solutions

    Separation and Purification Technology · 2026-02-25

    Lidong Wang, Aizimaitijiang Aierken, Qin Dai, Hongkai Zhao, Jingkai Wu, Xiangwei Liu, Yanan Wang, Tianqi Zhang, Qiangwei Li, Guangfei Yu

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  6. Unraveling the ranitidine removal mechanism in a novel riboflavin-mediated ultraviolet/peracetic acid system: An integrated density functional theory-machine learning framework

    Journal of Hazardous Materials · 2026-02-26

    Yizhe Ding, Jiacheng Shi, Yuqian Lin, Qiya Sun, Yuying Zhao, Xi Wang, Xi Wang, Qian Ping, Lin Wang, Yongmei Li

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  7. Improving Kinetic Prediction and Structural-Electronic Mechanistic Coherence in the Fenton Process via a Cross-Scale Machine-Learning Framework

    Environmental Science & Technology · 2026-06-02

    SZ Li, Ling Yuan, Yingying Chu, Chen Chen, Yujia Ma, Weiming Zhang, Jieshu Qian, Lu Lv, Bingcai Pan

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  8. Machine learning prediction of soil adsorption coefficients for industry-related aromatic contaminants: Molecular drivers and global distribution insights

    Journal of Hazardous Materials · 2026-06-02

    Liman Wei, Peiyu Cao, Siyuan Li, Xiang Zhang, Qiuyue Zhang, Huatai Song, Pan Liu, Xiangyu Chen, Hao Chen, Jiaping Xu, Yiming Yao, Yu Wang (12152), Cuiping Wang, Hongwen Sun

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  9. Where Machine Learning Fails in Predicting Emerging Contaminant Adsorption: A Decision-Oriented Framework for Model Credibility and Transferability

    Environmental Science & Technology · 2026-06-30

    Yina Fan, Jun Li, Yi Ren, Chao Liu, Weiming Zhang

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  10. Machine learning-guided identification of EHOMO-associated pollutant reactivity in piezocatalytic persulfate systems

    Journal of Hazardous Materials · 2026-07-29

    Zhonghua Wang, Huarui Li, xiuping Sun, Chenglin Liu, Wenkang Shi, Shiqin Ma, Qiao Wang, Bin Ji

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  11. Three-dimensional settling map for intelligent detection of activated sludge (AS) properties and health evaluation of AS based wastewater treatment

    Water Research · 2026-08-06

    Jie Lei, Zhe Liu, Guoning Huang, Jiaxuan Wang, Rushuo Yang, Ying Du, Tianyu Han, Zhuangzhuang Yang, Ang Li, Yongjun J. Liu, Zhenmin Luo, Rong Chen

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  12. A domain-enhanced multi-agent framework for trustworthy literature screening in water research

    Water Research · 2026-08-26

    Runzhi Wang, Xinlu Lin, Baoyi Zhong, Jiaxuan Li, Ruixing Huang, Yu Huang, Yajuan Cai, Chotiwat Jantarakasem, Yang Xiang, Konstantinos V. Plakas, Jun Ma, Yumeng Zhao

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  13. Immobilization of fungal cells on positively charged cyclodextrin-based carriers: Enhanced PhAC degradation and multi-omics implications

    Journal of Hazardous Materials · 2026-08-26

    Yizhou Tu, Yizhou Wu, Yang Pan, Xiaolu Ding, Xinyi Wang, Xingqi Zhu, Jun Li, Xianchuan Xie, Yong Chen, Wentao Li, Chendong Shuang, Qing Zhou, Aimin Li

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  14. Enhancing implementation efficiency and accuracy of process optimization with a prior knowledge-centric few-shot learning framework

    Chinese Chemical Letters · 2026-09-01

    Jingyang Liu, Chaohui Zhang, Shasha Li, Jiatong Zhang, Xiuwu Zhang, Huizhong Wu, Ruiheng Liang, Wenqi You, Minghua Zhou

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  15. Redefining advanced oxidation processes for low-carbon water treatment

    Nature Water · 2026-10-02

    Yafei Fan, Wei Zhang, Wenjie Lv, Minghui Zhu, Pengbo Fu, Yue Jiang, Mingyang Xing

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