基本信息
姓名：王雅
系所：环境科学与工程系
职称：讲师
邮箱：WYanne@ustb.edu.cn
教育及工作经历
2022.7-至今，北京科技大学，讲师
2019.5-2022.6，清华大学，博士后，助理研究员
2017.6-2017.9，美国Georgia Institute of Technology，联合培养博士生
2015.9-2017.5，美国University of Puerto Rico，联合培养博士生
2011.9-2019.3，大连理工大学，博士（硕博连读）
2007.9-2011.7，郑州大学，学士
2019.5-2022.6，清华大学，博士后，助理研究员
2017.6-2017.9，美国Georgia Institute of Technology，联合培养博士生
2015.9-2017.5，美国University of Puerto Rico，联合培养博士生
2011.9-2019.3，大连理工大学，博士（硕博连读）
2007.9-2011.7，郑州大学，学士
研究领域
1. 新型污染物环境行为的模拟预测.
2. 催化剂表面污染物降解机理的密度泛函理论研究.
2. 催化剂表面污染物降解机理的密度泛函理论研究.
代表性论文及著作
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.
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.
代表性科研项目
1. 国家自然科学基金重点项目“基于新型环境功能材料的大气污染控制化学基础研究”，2020-2024，参与.
2. 国家自然科学基金面上项目“基于原位光谱结合量化计算方法的钙钛矿催化剂定向设计及高效脱除VOCs反应机理研究”，2018-2021，参与.
3. 北京市自然科学基金面上项目“NOx还原协同VOCs氧化的双功能催化剂研发”，2020-2022，参与.
2. 国家自然科学基金面上项目“基于原位光谱结合量化计算方法的钙钛矿催化剂定向设计及高效脱除VOCs反应机理研究”，2018-2021，参与.
3. 北京市自然科学基金面上项目“NOx还原协同VOCs氧化的双功能催化剂研发”，2020-2022，参与.