1.基于分子动力学模拟的摩擦磨损机制探索

　　利用分子动力学模拟，从原子尺度揭示材料界面的摩擦磨损行为与演变机制，重点研究外部载荷、环境条件（如真空、高温）和界面化学性质对摩擦性能的影响，为开发高性能耐磨材料提供理论指导。

2.轻质金属表面功能化增强处理技术

　　通过多层次表面改性技术（如微弧氧化、激光织构及等离子体增强化学气相沉积等），优化轻金属材料的力学、耐腐蚀和摩擦学性能，探索高性能界面设计的新路径。

3.机器学习驱动的摩擦学性能优化与预测

　　利用机器学习算法挖掘摩擦学性能与材料组成、表面结构及环境条件的关联，构建高效预测模型和智能优化框架，推动界面材料设计和摩擦学行为调控的高效化，为先进材料的开发提供数据驱动的解决方案。

　　欢迎对上述方向感兴趣的本科生、硕士生加入团队，共同成长进步！

入职以来，一作/通讯期刊论文：

[1]       Guoqing Wang, Tianqiang Yin, Yuzhen Liu, Jae-Ho Han, Young-chan Jung, Tao Yang, Dae-Eun Kim, Chenbo Ma, Gai Zhao, Reduction of adhesive wear and improvement of long-term stability in ultrasonic motors via DLC coating, Tribology International, 2025, 110838（中科院一区Top）

[2]       Guoqing Wang, Qian Cheng, Tianqiang Yin, Yuyan Zhang, Chenbo Ma, Gai Zhao, Vibration-induced dynamic interfacial adjustment of PTFE friction in an aqueous environment from the nanoscale, Tribology International, 2025, 111015（中科院一区Top）

[3]       Guoqing Wang, Junkai Li（本科生）, Qian Cheng, Zhiyuan Guo, Jianguo Zhang, Hierarchical MAO-diamond coating for titanium alloys: Enhancing tribological performance through experimental and atomistic insights, Applied Surface Science, 2025, 164393（中科院二区）

[4]       Guoqing Wang, Qian Cheng, Zhiyuan Guo, Yuzhen Liu, Jiang Zhao, Chenbo Ma, Gai Zhao. MXene-reinforced micro-arc oxidation ceramic coatings of Mg alloys: Achieving multifunctional protection, Ceramics International, 2025, 51, 23, 38374-38380（中科院二区）

[5]       Guoqing Wang, Yuyan Zhang, Juan Li, Jiang Zhao, Chenbo Ma, Gai Zhao. Analysis of frictional performance of microarc oxidized aluminum alloys in various media: Integration of experimental and MD simulation approaches, Materials Today Communications, 2025, 46, 112537（中科院三区）

[6]       Guoqing Wang, Tianqiang Yin, Tao Yang, Jiang Zhao, Yuyan Zhang, Juan Li, Gai Zhao. Temperature-driven tribological behavior of MoS₂ coatings on copper: Experimental and molecular dynamics insights, Materials Today Communications, 2025, 46, 112537（中科院三区）

[7]       Yang Sun（本科生）, Guoqing Wang*, Qian Cheng, Junkai Li, Tianqiang Yin, Boquan Wang, Molecular dynamics investigation of the nanoindentation performance of PTFE reinforced with DLC coatings, Diamond and Related Materials, 2025, 112633（中科院三区）

[8]       Guoqing Wang, Chao Li（本科生）, Gaifen Lu, Tao Yang, Jiang Zhao, Juan Li, Gai Zhao，Atomic-scale insights into friction and wear mechanisms of Cu-Al interfaces under multifactor conditions: A molecular dynamics investigation, Materials Today Communications, 2025, 48, 113421（中科院三区）

入职前，期刊论文：

[1]       Guoqing Wang, Yuling Ruan, Hongxing Wang, Gai Zhao, Xinxin Cao, Xingming Li, Qingjun Ding. Tribological performance study and prediction of copper coated by MoS₂ based on GBRT method, Tribology International, 2023, 179, 108149（中科院一区Top）

[2]       Guoqing Wang, Jingfu Song, Gai Zhao, Yuling Ruan, Jintao Wu, Jiyang Zhang, Xingming Li, Qingjun Ding. Improving output performance of ultrasonic motor by coating MoS₂ on the stator, Tribology International, 2023, 186, 108608（中科院一区Top）

[3]       Guoqing Wang, Lingxiang Guo, Yuling Ruan, Xianlong Zhang, Yuzhen Liu, Dae-Eun Kim. Improved wear and corrosion resistance of alumina alloy by MAO and PECVD, Surface and Coatings Technology, 2024, 479, 130556 (中科院一区Top，封面文章)

[4]       Guoqing Wang, Jingfu Song, Gai Zhao, Qingjun Ding, Tianqiang Yin, Hongxing Wang. Tribological performance prediction of WS₂ coating under different conditions by machine learning, Wear, 2023, 532–533, 205092（中科院一区Top）

[5]       Gai Zhao, Guoqing Wang, Jingfu Song, Qingjun Ding. Water molecular lubrication of PTFE through carbon nanotube. Tribology International, 2023, 185, 108564（中科院一区Top）

[6]       Guoqing Wang, Gai Zhao, Jingfu Song, Qingjun Ding. Study on the tribological properties of copper coated by graphene and h-BN from the atomic scale, Applied Surface Science, 2022, 573, 151548（中科院二区Top）

[7]       Guoqing Wang, Gai Zhao, Tianqiang Yin, Xiaocheng Chu, Qingjun Ding, Yuzhen Liu, Dae-Eun Kim Exploration on the enhanced mechanism of copper surface tribology by WS₂ from MD simulation, Vacuum, 2024, 225, 113291（中科院二区）

[8]       Guoqing Wang, Gai Zhao, Jingfu Song, Qingjun Ding. Study on tribological properties of TMDs-coated copper from the nanoscale, Materials Today Communications, 2022, 31, 103815（中科院三区）

[9]       Guoqing Wang, Gai Zhao, Jingfu Song, Han Wang, Qingjun Ding. Study on the nanoindentation of polytetrafluoroethylene filled with knitted graphene by MD simulations, Computational Materials Science, 2022, 215, 111796（中科院三区）

[10]     Guoqing Wang, Gai Zhao, Jingfu Song, Qingjun Ding. Effect of velocity and interference depth on the tribological properties of alumina sliding with Cu: A molecular dynamics simulation, Chemical Physics Letters, 2021, 775, 138669（中科院三区）

[11]    Guoqing Wang, Ben Gao, Gai Zhao, Haoyu Shi, Shuntao Fang, Yuzhen Liu, Machine learning accelerated the prediction of mechanical properties of copper modified by TMDs based on molecular dynamics simulation, Physica Scripta, 2024, 99, 095930（中科院三区）

[12]    汪国庆，曹鑫鑫，赵盖，宋敬伏，丁庆军. 铜表面纳尺度沟槽织构的摩擦学性能研究，表面技术, 2023, 52(3), 134 - 142 (EI，封面文章)

[13]     Jingfu Song, Guoqing Wang, Gai Zhao. Epoxy adhesive shear mechanism on the molecular level, Polymer Engineering and Science, 2023, 63(1), 230-237（中科院三区）

[14]    Xiaocheng Chu, Guoqing Wang, Qingjun Ding, Gai Zhao, Huafeng Li. Molecular dynamics simulation of epoxy resin modified by polyimide grafted graphene oxide, Polymer Engineering and Science, 2023; 1-11（中科院三区）

[15]    Tianqiang Yin, Guoqing Wang, Zhiyuan Guo, Yiling Pan, Jingfu Song, Qingjun Ding, Gai Zhao, Molecular Dynamics Simulation on Polymer Tribology: A Review, Lubricants, 2024, 12(6): 205. （中科院三区）

专利:

[16]     汪国庆，赵盖，宋敬伏，丁庆军，孙志峻，裘进浩；一种基于超声电机的倾转旋翼机构；ZL202110436922.7（已授权）

学术兼职：

　　[1] 担任《Surface and Coatings Technology》、《Surfaces and Interfaces》等期刊审稿人

　　[2] 担任《Coatings》合作客座编辑

　　[3]《常州大学学报》青年编委

机械设计基础

[1] 入选首届中国科协青年人才托举工程（博士专项）

[2] 入选2025年中国工程机械学会博士学位论文激励计划

[3] 入选2025年江苏省航空航天学会“博士学位论文托举工程”

[4] 第七届中国国际“互联网+”大学生创新创业大赛-高教主赛道金奖

[5] 第十三届“挑战杯”大学生创业计划竞赛金奖

[6] 第七届国际无人飞行器创新大奖赛-竞技组亚军

[7] 2024年度，获胡海岩科技创新奖