Wang Ya
Education & Working Experience
2022.7-now, University of Science & Technology Beijing, Lecturer
2019.5-2022.6, Tsinghua University, Postdoc.
2017.6-2017.9, Georgia Institute of Technology, Joint-PhD student
2015.9-2017.5, University of Puerto Rico, Joint-PhD student
2011.9-2019.3, Dalian University of Technology, Doctor and Master
2007.9-2011.7, Zhengzhou University, Bachelor
Research projects
1. Basic research on air pollution control chemistry based on novel environmental functional materials, supported by National Natural Science Foundation. 2020-2024, participant.
2. Study on the reaction mechanism of efficient removal for VOCs and design of perovskite catalyst based on In-situ spectroscopy and quantum chemistry calculation, supported by National Natural Science Foundation. 2018-2021, participant.
3. Development of bifunctionalcatalyst for NOx reduction and VOCs oxidation, supported by Beijing Natural Science Foundation. 2020-2022, participant.
Academic Achievements
Main journal publications：
1. Ya Wang, Weihao Tang, Zijun Xiao, Wenhao Yang, Yue Peng, Jingwen Chen, Junhua Li*. Novel MLR and SVM models for predicting hexadecane/air partition coefficients of organic compounds. Journal of Environmental Sciences, 2023, 124: 98-104.
2. Ya Wang, Weihao Tang, Yue Peng*, Zhongfang Chen*, Jingwen Chen*, Zijun Xiao, Xiaoguang Zhao, Yakun Qu, Junhua Li. Predicting the adsorption of organic pollutants on boron nitride nanosheets via in silico techniques: DFT computations and QSAR modeling. Environmental Science: Nano, 2021, 8: 795-805.
3. Ya Wang, Jingwen Chen*, Weihao Tang, Deming Xia, Yuzhen Liang, Xuehua Li. Modeling adsorption of organic pollutants onto single-walled carbon nanotubes with theoretical molecular descriptors using MLR and SVM algorithms. Chemosphere, 2019, 214: 79-84.
4. Ya Wang, Jeffrey Comer*, Zhongfang Chen, Jingwen Chen*, James C. Gumbart*. Exploring adsorption of neutral aromatic pollutants onto graphene nanomaterials via molecular dynamics simulations and theoretical linear solvation energy relationships. Environmental Science: Nano, 2018, 5: 2117-2128.
5. Ya Wang, Jingwen Chen*, Xiaoxuan Wei, Arturo J. Hernandez Maldonado, Zhongfang Chen*. Unveiling adsorption mechanisms of organic pollutants onto carbon nanomaterials by density functional theory computations and linear free energy relationship modeling. Environmental Science & Technology, 2017, 51: 11820-11828.
6. Ya Wang, Jingwen Chen, Xianhai Yang, Felichesmi Lyakurwa, Xuehua Li*, Xianliang Qiao. In silico model for predicting soil organic carbon normalized sorption coefficient (KOC) of organic chemicals. Chemosphere, 2015, 119: 438-444.
7. Jiaxing Wang,# Ya Wang, # Yang Huang, Willie J. G. M. Peijnenburg, Jingwen Chen, Xuehua Li*. Development of a nano-QSPR model to predict band gaps of spherical metal oxide nanoparticles. RSC Advances, 2019, 9: 8426-8434.
