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Shifa Zhong

Showing results (1-10 of 28) with videos related to

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Journal of Hazardous Materials|December 1, 2019
Mn(III)-ligand complexes as a catalyst in ligand-assisted oxidation of substituted phenols by permanganate in aqueous solutionShifa Zhong, Huichun Zhang
Environmental Science & Technology|July 5, 2023
Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants' Activities and PropertiesShifa Zhong, Xiaohong Guan
Water Research|November 3, 2018
New insight into the reactivity of Mn(III) in bisulfite/permanganate for organic compounds oxidation: The catalytic role of bisulfite and oxygenShifa Zhong, Huichun Zhang
Environmental Science & Technology|December 15, 2021
Machine Learning-Assisted QSAR Models on Contaminant Reactivity Toward Four Oxidants: Combining Small Data Sets and Knowledge TransferShifa Zhong, Yanping Zhang, Huichun Zhang
Environmental Science & Technology|May 9, 2020
Predicting Aqueous Adsorption of Organic Compounds onto Biochars, Carbon Nanotubes, Granular Activated Carbons, and Resins with Machine LearningKai Zhang, Shifa Zhong, Huichun Zhang
Environmental Science & Technology|August 26, 2020
Response to Comment on Predicting Aqueous Adsorption of Organic Compounds onto Biochars, Carbon Nanotubes, Granular Activated Carbons, And Resins with Machine LearningKai Zhang, Shifa Zhong, Huichun Zhang
Environmental Science & Technology|May 17, 2023
Abiotic Reduction of Organic and Inorganic Compounds by Fe(II)-Associated Reductants: Comprehensive Data Sets and Machine Learning ModelingYidan Gao, Shifa Zhong, Kai Zhang, et al.
Environmental Science & Technology|February 15, 2023
Understanding and Designing a High-Performance Ultrafiltration Membrane Using Machine LearningHaiping Gao, Shifa Zhong, Raghav Dangayach, et al.
Environmental Science & Technology|February 11, 2025
Data-Driven Insights into Resin Screening for Targeted Per- and Polyfluoroalkyl Substances Removal Using Machine LearningJing Zhang, Kaixing Fu, Shifa Zhong, et al.
Environmental Science & Technology|May 26, 2023
Real-Time Sensor Data Profile-Based Deep Learning Method Applied to Open Raceway Pond Microalgal Productivity PredictionThomas Igou, Shifa Zhong, Elliot Reid, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Journal of Hazardous Materials|December 1, 2019
Mn(III)-ligand complexes as a catalyst in ligand-assisted oxidation of substituted phenols by permanganate in aqueous solutionShifa Zhong, Huichun Zhang
Environmental Science & Technology|July 5, 2023
Count-Based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-Based Predictive Regression Models for Water Contaminants' Activities and PropertiesShifa Zhong, Xiaohong Guan
Water Research|November 3, 2018
New insight into the reactivity of Mn(III) in bisulfite/permanganate for organic compounds oxidation: The catalytic role of bisulfite and oxygenShifa Zhong, Huichun Zhang
Environmental Science & Technology|December 15, 2021
Machine Learning-Assisted QSAR Models on Contaminant Reactivity Toward Four Oxidants: Combining Small Data Sets and Knowledge TransferShifa Zhong, Yanping Zhang, Huichun Zhang
Environmental Science & Technology|May 9, 2020
Predicting Aqueous Adsorption of Organic Compounds onto Biochars, Carbon Nanotubes, Granular Activated Carbons, and Resins with Machine LearningKai Zhang, Shifa Zhong, Huichun Zhang
Environmental Science & Technology|August 26, 2020
Response to Comment on Predicting Aqueous Adsorption of Organic Compounds onto Biochars, Carbon Nanotubes, Granular Activated Carbons, And Resins with Machine LearningKai Zhang, Shifa Zhong, Huichun Zhang
Environmental Science & Technology|May 17, 2023
Abiotic Reduction of Organic and Inorganic Compounds by Fe(II)-Associated Reductants: Comprehensive Data Sets and Machine Learning ModelingYidan Gao, Shifa Zhong, Kai Zhang, et al.
Environmental Science & Technology|February 15, 2023
Understanding and Designing a High-Performance Ultrafiltration Membrane Using Machine LearningHaiping Gao, Shifa Zhong, Raghav Dangayach, et al.
Environmental Science & Technology|February 11, 2025
Data-Driven Insights into Resin Screening for Targeted Per- and Polyfluoroalkyl Substances Removal Using Machine LearningJing Zhang, Kaixing Fu, Shifa Zhong, et al.
Environmental Science & Technology|May 26, 2023
Real-Time Sensor Data Profile-Based Deep Learning Method Applied to Open Raceway Pond Microalgal Productivity PredictionThomas Igou, Shifa Zhong, Elliot Reid, et al.
Pageof 3