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RESEARCH PAPER · Atmospheric Environment · 2024

Predicting reaction rate constants of organic compounds with oxidants in the atmospheric aqueous-phase through multi-task learning

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Open in your workspace →Saved 2026-10-14 · complete coverage
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Predicting reaction rate constants of organic compounds with oxidants in the atmospheric aqueous-phase through multi-task learningOriginalPredicting Nitrate Radical Reaction Rate Constants of Organic Compounds in the Atmospheric Aqueous Phase Affected by Inorganic Ions0In Silico Analysis of Contaminant Persistence: From QSARs to Machine Learning Models7Multi-Temperature VOCs + OH Rate Coefficients Prediction via GCN Constrained by the Arrhenius Equation0

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  1. Predicting Nitrate Radical Reaction Rate Constants of Organic Compounds in the Atmospheric Aqueous Phase Affected by Inorganic Ions

    Environmental Science & Technology · 2026-02-12

    Linghao Gu, Zhongming Chen, Yulu Jia, Yan Xu, Yishuang Dai

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  2. In Silico Analysis of Contaminant Persistence: From QSARs to Machine Learning Models

    Environmental Science & Technology · 2026-03-18

    Huichun Judy Zhang, Paul G. Tratnyek

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  3. Multi-Temperature VOCs + OH Rate Coefficients Prediction via GCN Constrained by the Arrhenius Equation

    The Journal of Physical Chemistry A · 2026-09-15

    Hanchong Yu, Wenjing Liu, Guangda Luo, Dongyang Li, Sheng Huang, Xiaoqing Wu, Feng P. Zhang

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