AI-enhanced chemical paradigm: From molecular graphs to accurate prediction and mechanism-Reference-Cited by-同舟云学术

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AI-enhanced chemical paradigm: From molecular graphs to accurate prediction and mechanism

Published:2024-03 Issue: Volume:465 Page:133355
ISSN:0304-3894
Container-title:Journal of Hazardous Materials
language:en
Short-container-title:Journal of Hazardous Materials

Author:

Huang Zhi,Yu Jiang,He Wei,Yu Jie,Deng Siwei,Yang Chun,Zhu Weiwei,Shao Xiao

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference59 articles.

1. Huang Z, Yu J, Shao X, Jiang Y, Yu J, Deng S, et al. Interpretable artificial intelligence for advanced oxidation systems: principle, operations and performance. Process Saf Environ Prot; 2023.

2. Critical review of rate constants for reactions of hydrated electrons, hydrogen atoms and hydroxyl radicals (⋅OH/⋅O− in Aqueous Solution;Buxton;J Phys Chem Ref Data,1988

3. Environmental implications of hydroxyl radicals (• OH);Gligorovski;Chem Rev,2015

4. Kinetics of the reactions of hydroxyl radicals with aldehydes studied under atmospheric conditions;Kerr;Environ Sci Technol,1981

5. Fabrication of sepiolite-based super-hydrophobic stainless steel mesh for enhanced stability and high efficiency oil-water separation;Huang;Colloids Surf A Physicochem Eng Asp,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting reaction rate constants of organic compounds with oxidants in the atmospheric aqueous-phase through multi-task learning;Atmospheric Environment;2024-11

2. AI in Predictive Toxicology;Advances in Medical Technologies and Clinical Practice;2024-09-27

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