Kai Zhang - Dissemin

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All papers authored by Kai Zhang

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2023 Haiping Ai, Kai Zhang

ORCID

, Chad J. Penn, Huichun Zhang

ORCID

Phosphate removal by low-cost industrial byproduct iron shavings: Efficacy and longevity

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Yidan Gao, Shifa Zhong

ORCID

, Kai Zhang

ORCID

, Huichun Zhang

ORCID

Abiotic Reduction of Organic and Inorganic Compounds by Fe(II)-Associated Reductants: Comprehensive Data Sets and Machine Learning Modeling

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Haiping Ai, Kai Zhang

ORCID

, Jiachun Sun, Huichun Zhang

ORCID

Short-term Lake Erie algal bloom prediction by classification and regression models

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This paper is made freely available by the publisher.

2022 Kai Zhang

ORCID

, Huichun Zhang

ORCID

Machine Learning Modeling of Environmentally Relevant Chemical Reactions for Organic Compounds

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Kai Zhang

ORCID

, Huichun Zhang

ORCID

Predicting Solute Descriptors for Organic Chemicals by a Deep Neural Network (DNN) Using Basic Chemical Structures and a Surrogate Metric

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2021 Feier Wang

ORCID

, Yixu Wang, Kai Zhang

ORCID

, Ming Hu

ORCID

, Qin Weng, Huichun Zhang

Spatial heterogeneity modeling of water quality based on random forest regression and model interpretation

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Hongrui Yang, Kuan Huang

ORCID

, Kai Zhang

ORCID

, Qin Weng, Huichun Zhang

ORCID

, Feier Wang

Predicting Heavy Metal Adsorption on Soil with Machine Learning and Mapping Global Distribution of Soil Adsorption Capacities

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This paper was not found in any repository, but could be made available legally by the author.

Shifa Zhong, Kai Zhang

ORCID

, Majid Bagheri, Joel G. Burken

ORCID

, April Gu

ORCID

ORCID

, Xingmao Ma, Babetta L. Marrone, Zhiyong Jason Ren

ORCID

, Joshua Schrier

ORCID

, Wei Shi, Haoyue Tan, Tianbao Wang, Xu Wang

ORCID

, Bryan M. Wong

ORCID

and 4 other authors

Machine Learning: New Ideas and Tools in Environmental Science and Engineering

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2020 Kai Zhang

ORCID

, Huichun Zhang

ORCID

Coupling a Feedforward Network (FN) Model to Real Adsorbed Solution Theory (RAST) to Improve Prediction of Bisolute Adsorption on Resins

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Kai Zhang

ORCID

, Shifa Zhong, Huichun Zhang

ORCID

Response to Comment on Predicting Aqueous Adsorption of Organic Compounds onto Biochars, Carbon Nanotubes, Granular Activated Carbons, And Resins with Machine Learning

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Shifa Zhong, Kai Zhang

ORCID

, Dong Wang, Huichun Zhang

Shedding Light On “Black Box” Machine Learning Models for Predicting the Reactivity of HO• Radicals toward Organic Compounds

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This paper was not found in any repository, but could be made available legally by the author.

Kai Zhang

ORCID

, Shifa Zhong, Huichun Zhang

ORCID

Predicting Aqueous Adsorption of Organic Compounds onto Biochars, Carbon Nanotubes, Granular Activated Carbons, and Resins with Machine Learning

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