Shifa Zhong

Gao, Y., Zhong, S., Torralba-Sanchez, T., Tratnyek, P., Weber, E., Chen, Y., & Zhang, H. (2021). Quantitative structure activity relationships (QSARs) and machine learning models for abiotic reduction of organic compounds by an aqueous Fe(II) complex. WATER RESEARCH, 192

Zhong, S., Hu, J., Yu, B., & Zhang, H. (2021). Molecular image-convolutional neural network (CNN) assisted QSAR models for predicting contaminant reactivity toward OH radicals: Transfer learning, data augmentation and model interpretation. CHEMICAL ENGINEERING JOURNAL, 408

Zhong, S., Zhang, K., Wang, D., & Zhang, H. (2021). Shedding light on "Black Box" machine learning models for predicting the reactivity of HO center dot radicals toward organic compounds. CHEMICAL ENGINEERING JOURNAL, 405

Zhong, S., Hu, J., Fan, X., Yu, B., & Zhang, H. (2020). A deep neural network combined with molecular fingerprints (DNN-MF) to develop predictive models for hydroxyl radical rate constants of water contaminants. Journal of Hazardous Materials, 383

Jiang, Z., Hu, J., Zhang, X., Zhao, Y., Fan, X., Zhong, S., Zhang, H., & Yu, B. (2020). A Generalized Predictive Model for TiO2–Catalyzed Photo-degradation Rate Constants of Water Contaminants through Artificial Neural Network. Environ. Res., In revision

Zhang, K., Zhong, S., & Zhang, H. (2020). Predicting aqueous adsorption of organic compounds on biochars, carbon nanotubes, granular activated carbons, and resins by machine learning. Environ. Sci. Technol., In review

Zhong, S., & Zhang, H. (2020). Chemical Knowledge Learned by Machine Learning-based predictive models for OH• Radical towards Organic Compounds. PNAS, In review

Zhang, K., Zhong, S., & Zhang, H. (2020). Predicting aqueous adsorption of organic compounds onto biochars, carbon nanotubes, granular activated carbons, and resins with machine learning. Environ. Sci. Technol., In revision

Zhong, S., & Zhang, H. (2020). Mn(III)-Ligand Complexes as a Catalyst in Ligand-Assisted Oxidation of Substituted Phenols by Permanganate in Aqueous Solution. J. Haz. Mat., 384 , 121401.

Zhang, K., Zhong, S., & Zhang, H. (2020). Predicting Aqueous Adsorption of Organic Compounds onto Biochars, Carbon Nanotubes, Granular Activated Carbons, and Resins with Machine Learning. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 54 (11), 7008-7018.

Zhong, S., & Zhang, H. (2019). New insight into the reactivity of Mn(III) in bisulfite/permanganate for organic compounds oxidation: The catalytic role of Bisulfite and Oxygen. Wat. Res., 148 , 198-207.

Zhang, H., Rasamani, K., Zhong, S., Taujale, S., Baratta, L., & Yang, Z. (2019). Dissolution, adsorption, and redox reaction in ternary mixtures of goethite, aluminum oxides, and hydroquinone. J. Phys. Chem. C, 123 , 4371-4379.

Zhong, S., & Zhang, H. (2019). Revisit Ligand-Accelerated Oxidation of Substituted Phenols by Permanganate in Aqueous Solution: The Catalytic Role of Mn(III)-Ligand Complexes. Environ. Sci. Technol., In review

Zhong, S., Hu, J., Fan, X., Xiong, Y., & Zhang, H. (2019). Deep Neural Network Combined with Molecular Fingerprints to Develop Prediction Models for Rate Constants of Water Contaminants with Hydroxyl Radical. J. Haz. Mat., 383 , 121141.

Zhong, S., & Zhang, H. (2018). New insight into the reactivity of Mn(III) in bisulfite/permanganate for organic compounds oxidation: The catalytic role of Bisulfite and Oxygen. Wat. Res., 148 , 198-207.

Huang, J., Zhong, S., Dai, Y., Liu, C., & Zhang, H. (2018). Effect of Phase Structure of MnO2 on the Oxidation Reactivity toward Bisphenol A Degradation. Environ. Sci. Technol., 52 (19), 11309-11318.

Huang, J., Zhong, S., Dai, Y., Liu, C., & Zhang, H. (2018). Effect of Phase Structure of MnO2 on the Oxidation Reactivity toward Contaminant Degradation. Environ. Sci. Technol., 52 (19), 11309–11318.

Publications