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吴国钟
2023-05-12 11:52
  • 吴国钟
  • 吴国钟 - 讲师 硕导-清华大学-深圳国际研究生院-个人资料

近期热点

资料介绍

个人简历


2012年01月 —— 现在 清华大学深圳研究生院 博士后、讲师 2007年09月 ——2012年01月 天津大学化工学院 工学博士 2009年10月 ——2010年12月 Cranfield University 联合培养博士 2003年09月 ——2007年06月 华南理工大学化工学院 工学学士

研究领域


(1)石油污染土壤环境评估与治理:采用分子模拟与显微观测技术,研究石油污染物在土壤与沉积物表面及微纳米孔内的分布规律;研究石油污染物在溶剂萃取和电化学等修复过程中的迁移规律;研究高浓度石油污染土壤的绿色高效修复技术。(2)气体水合物应用技术:研究可燃冰成核、生长与分解机理,优化开采工艺;研究油气输运管道中水合物聚沉机理,开发高效抑制剂;研究基于水合物的气体储存、气体分离、海水淡化、污水处理等技术中的传质与分离机理,开发水合物强化生成技术。

近期论文


[1] Meng Q, Chen D, Wu G *, 2018. Microscopic mechanisms for the dynamic wetting of a heavy oil mixture on a rough silica surface. Journal of Physical Chemistry C, article in press, doi: 10.1021/acs.jpcc.8b05784 [2] Zi M, Chen D, Wu G *, 2018. Molecular dynamics simulation of methane hydrate formation on metal surface with oil. Chemical Engineering Science191 : 253 - 261. [3] Hu P, Chen D, Zi M, Wu G *, 2018. Effects of carbon steel corrosion on the methane hydrate formation and dissociation. Fuel 230: 126 - 133. [4] Zhu X, Chen D, Zhang Y, Wu G *, 2018. Insights into the oil adsorption and cyclodextrin extraction process on rough silica surface by molecular dynamics simulation. Journal of Physical Chemistry C. 122: 2997 - 3005 [5] Ji H, Chen D, Zhao C, Wu G *, 2018. Molecular dynamics simulation of methane hydrate formation and dissociation in the clay pores with fatty acids. Journal of Physical Chemistry C 122: 1318 – 1325 [6] Zi M, Wu G, Li L, Chen D, 2018. Molecular dynamics simulations of methane hydrate formation in model water-in-oil emulsion containing asphaltenes. Journal of Physical Chemistry C122: 23299-23306 [7] Zhu X, Wu G, Coulon F, Wu L, Chen D, 2018. Correlating asphaltene dimerization with its molecular structure by potential of mean force calculation and data mining. Energy & Fuels 32: 5779 - 5788 [8] Ji H, Chen D, Wu G *, 2017. Molecular mechanisms for the cyclodextrin-promoted methane hydrate formation in water. Journal of Physical Chemistry C 121: 20967-20975 [9] Sui H, Dong J, Wu M, Li X, Zhang R, Wu G *, 2017. Continuous hydrogen production by dark fermentation in a foam SiC ceramic packed up-flow anaerobic sludge blanket reactor. Canadian Journal of Chemical Engineering 95: 62-68 [10] Zi M, Chen D, Ji H, Wu G *, 2016. Effects of asphaltenes on the formation and decomposition of methane hydrate: a molecular dynamics study. Energy & Fuels 30: 5643-5650 [11] Zhu X, Chen D, Wu G *, 2016. Insights into asphaltene aggregation in the Na-montmorillonite interlayer. Chemosphere 160: 62-70 [12] Sui H, Li L, Zhu X, Chen D, Wu G *, 2016. Modeling the adsorption of PAH mixture in silica nanopores by molecular dynamic simulation combined with machine learning. Chemosphere 144: 1950-1959 [13] Ji H, Wu G, Zi M, Chen D, 2016. Microsecond molecular dynamics simulation of methane hydrate formation in humic-acid-amended sodium montmorillonite. Energy & Fuels 30: 7206-7213 [14] Zhu X, Wu G, Chen D, 2016. Molecular dynamics simulation of cyclodextrin aggregation and extraction of Anthracene from non-aqueous liquid phase. Journal of Hazardous Materials 320: 169-175 [15] Zhu X, Chen D, Wu G *, 2015. Molecular dynamic simulation of asphaltene co-aggregation with humic acid during oil spill. Chemosphere 138: 412-421 [16] Sui H, Hua Z, Li X, Li H, Wu G *, 2014. Influence of soil and hydrocarbon properties on the solvent extraction of high-concentration weathered petroleum from contaminated soils. Environmental Science and Pollution Research 21: 5774-5784 [17] Wu G, Zhu X, Ji H, Chen D, 2015. Molecular modeling of interactions between heavy crude oil and the soil organic matter coated quartz surface, Chemosphere 119: 242-249 [18] Wu G, Li X, Kechavarzi C, Sakrabani R, Sui H, Coulon F, 2014. Influence and interactions of multi-factors on the bioavailability of PAHs in compost amended contaminated soils, Chemosphere 107: 43-50 [19] Wu G, He L, Chen D, 2013. Sorption and distribution of asphaltene, resin, aromatic and saturate fractions of heavy crude oil on quartz surface: molecular dynamic simulation, Chemosphere 92 (11): 1465-1471 [20] Wu G, Kechavarzi C, Li X, Wu S, Pollard S, Sui H, Coulon F, 2013. Machine learning models for predicting PAHs bioavailability in compost amended soils, Chemical Engineering Journal 223: 747-754

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