Lijie Zhang
Lijie Zhang
Assistant Professor, Chemistry and Environmental Science
385 Tiernan Hall (TIER)
About Me
Dr. Zhang's lab investigates interfacial processes that control the fate and transformation of environmental pollutants and resources under natural and engineered conditions.
Education
Ph.D.; Washington University in St Louis; Energy, Environmental & Chemical Engineering; 2018
B.S.; Tsinghua University; Environmental Science and Engineering; 2012
B.S.; Tsinghua University; Environmental Science and Engineering; 2012
Awards & Honors
2020 Outstanding Post-Graduate Researcher Award, Environmental Sciences Division, Oak Ridge National Laboratory
2018 Doctoral Student Research Award, Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis
2018 Student Travel Award, Geochemistry Division, American Chemical Society
2018 Doctoral Student Research Award, Department of Energy, Environmental & Chemical Engineering, Washington University in St. Louis
2018 Student Travel Award, Geochemistry Division, American Chemical Society
Past Courses
CHEM 235: PHYSICAL CHEMISTRY II
ENE 663: WATER CHEMISTRY
EVSC 610: ENVIRONMENTAL CHEMICAL SCIENCE
EVSC 791: GRADUATE SEMINAR
ENE 663: WATER CHEMISTRY
EVSC 610: ENVIRONMENTAL CHEMICAL SCIENCE
EVSC 791: GRADUATE SEMINAR
Research Interests
Environmental biogeochemistry; soil/water contamination remediation; resource recovery; water purification; energy-related subsurface processes
Journal Article
Zhao, L., & Zaborowski, E., & Bordoloi, S., & Rajagopalan, N., & Sharma, B.K., & Baroi, C., & Xing, W., & Zhang, Lijie (2024). Characterization of novel polysulfide polymer coated fly ash and its application in mitigating diffusion of contaminants. Environmental Pollution, 347, 123706.
Li, Peihua, & Yang, Yanan, & Zhuang, Lin-Lan, & Hu, Zhen, & Zhang, Lijie, & Ge, Shuhan, & Qian, Weiyi, & Tian, Wanqing, & Wu, Yinhu, & Hu, Hong-Ying (2024). Effects of chemical oxygen demand and chloramphenicol on attached microalgae growth: Physicochemical properties and microscopic mass transfer in biofilm. Bioresource Technology, 399, 130561.
Hu, Fangyu, & Gao, Chengcheng, & Wang, Baoyu, & Ding, Ziming, & Zhang, Lijie, & Wei, Shuhe, & An, Jing (2024). Effects of chicken manure-modified biochar on the adsorption capacity of tetracycline and abundance of antibiotic resistance genes in soil. Land Degradation \& Development, 35(3), 1224-1233.
Pan, Bin, & Song, Tianru, & Yue, Ming, & Chen, Shengnan, & Zhang, Lijie, & Edlmann, Katriona, & Neil, Chelsea W., & Zhu, Weiyao, & Iglauer, Stefan (2024). Machine learning - based shale wettability prediction: Implications for H2, CH4 and CO2 geo-storage. International Journal of Hydrogen Energy, 56, 1384-1390.
Nkinahamira, François, & Feng, Anqi, & Zhang, Lijie, & Rong, Hongwei, & Ndagijimana, Pamphile, & Guo, Dabin, & Cui, Baihui, & Zhang, Huichun (2024). Machine learning approaches for monitoring environmental metal pollutants: Recent advances in source apportionment, detection, quantification, and risk assessment. TrAC Trends in Analytical Chemistry, 180, 117980.
Li, Peihua, & Yang, Yanan, & Zhuang, Lin-Lan, & Hu, Zhen, & Zhang, Lijie, & Ge, Shuhan, & Qian, Weiyi, & Tian, Wanqing, & Wu, Yinhu, & Hu, Hong-Ying (2024). Effects of chemical oxygen demand and chloramphenicol on attached microalgae growth: Physicochemical properties and microscopic mass transfer in biofilm. Bioresource Technology, 399, 130561.
Hu, Fangyu, & Gao, Chengcheng, & Wang, Baoyu, & Ding, Ziming, & Zhang, Lijie, & Wei, Shuhe, & An, Jing (2024). Effects of chicken manure-modified biochar on the adsorption capacity of tetracycline and abundance of antibiotic resistance genes in soil. Land Degradation \& Development, 35(3), 1224-1233.
Pan, Bin, & Song, Tianru, & Yue, Ming, & Chen, Shengnan, & Zhang, Lijie, & Edlmann, Katriona, & Neil, Chelsea W., & Zhu, Weiyao, & Iglauer, Stefan (2024). Machine learning - based shale wettability prediction: Implications for H2, CH4 and CO2 geo-storage. International Journal of Hydrogen Energy, 56, 1384-1390.
Nkinahamira, François, & Feng, Anqi, & Zhang, Lijie, & Rong, Hongwei, & Ndagijimana, Pamphile, & Guo, Dabin, & Cui, Baihui, & Zhang, Huichun (2024). Machine learning approaches for monitoring environmental metal pollutants: Recent advances in source apportionment, detection, quantification, and risk assessment. TrAC Trends in Analytical Chemistry, 180, 117980.
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