教育背景与工作经历
教育背景
2014/09-2019/04 同济大学 航空航天与力学学院 工学博士
2016/09-2017/08 新加坡国立大学 机械工程系 联合培养博士
2010/09-2014-07 同济大学 航空航天与力学学院 工学学士
工作经历
2019/10-,上海理工大学,能源与动力工程学院,副教授
2019/05-2024/09,上海理工大学,能源与动力工程学院,讲师
一滴课题组信息门户:https://yidiusst.vipcom.cc
科研项目
国家自然科学基金青年项目,液体弹珠融合中异质浸润行为与液桥演化机理研究,12002212 2021/01-2023/12,主持;
上海市青年科技英才扬帆计划,液滴撞击宏-微观组合结构表面快速弹离机制研究,20YF14328002020/07-2023/06,主持;
国家自然科学基金重点项目,行波式风能(水流能)吸收机理研究,5203000181,2021/01-2024/12,参与;
国家自然科学基金面上项目,11872283,介观尺度液滴热毛细作用的耗散粒子动力学方法,2019/01-2022/12,参与;
横向项目
磁悬风机流体仿真项目,佐马奇科技(上海)有限公司;
管道内检测器速度控制数值仿真研究,南京市锅炉压力容器检验研究所;
二氧化碳雪清洁设备设计优化,上海磐云科技有限公司。
代表性论文
J. Zhao, W. Yu, W. Wang, S. Chen, and D. Huang, The synergistic reduction of the contact time in the droplet impact on a moving ridge surface, Research, 2024, 7, 0543.
W. Yu, B. Li, S. Lin, W. Wang, S. Chen, D. Cao, and J. Zhao*, A comparison of models for predicting the maximum spreading factor in droplet impingement, Phys. Fluids, 2024, 36, 073312.
W. Yu, W. Wang, Z. Yuan, D. Cao, Y. Wang, S. Chen and J. Zhao*, The symmetry in asymmetric post-impact behaviors of droplets impacting on the inclined and moving surfaces, Phys. Fluids, 2024, 36, 083336.
W. Wang, W. Yu, Z. Yu, S. Chen, D. Cao, X. Liu, and J. Zhao*, Non-Axisymmetric bouncing dynamics on a moving superhydrophobic surface, Symmetry, 2024, 16, 29.
J. Zhao, S. Chen, D. Cao, Accurate and scale-free pressure prediction for many-body dissipative particle dynamics, Phys. Fluids, 2023, 35, 062006.
X. Xiao, X. Huang, Z. Yu, D. Cao, S. Chen, and J. Zhao*, Numerical study of the coalescence-induced droplet jumping with macrotexture based on single-phase model, Phys. Fluids, 2023, 35, 072112.
J. Zhao, S. Chen, K. Zhang, D. Cao, and Y. Liu, Numerical study on the bouncing dynamics of droplets impacting on a macro-textured superhydrophobic surface, Computers&Fluids, 2022, 238.
X. Yu, J. Zhao*, S. Chen, D. Huang, K. Zhang,and D. Cao, The calibration for many-body dissipative particle dynamics by using back propagation neural networks, Molecular Simulation, 2022, 48, 11.
W. Yu, D. Zhu, W. Wang, Z. Yu, S. Chen, and J. Zhao*, The rebounding-coalescing behaviors in drop-on-drop impact on a superhydrophobic surface, Appl. Phys. Lett., 2022, 121, 061602.
J. Zhao, S. Chen, K. Zhang, and Y. Liu, A review of many-body dissipative particle dynamics (MDPD): Theoretical models and its applications, Phys. Fluids, 2021, 33, 112002.
C. Zhao, J. Zhao*, T. Si, and S. Chen, Influence of thermal fluctuations on nanoscale free-surface flows: A many-body dissipative particle dynamics study, Phys. Fluids, 2021, 33, 112004.
J. Zhao, N. Zhou, K. Zhang, S. Chen, and Y. Liu, Rupture process of liquid bridges: The effects of thermal fluctuations, Phys. Rev. E, 2020, 102: 023116.
J. Zhao, S. Chen, L. Zhu, and Y. Liu, Modified thermal periodic Poiseuille and Lees-Edwards boundary conditions for energy conservative dissipative particle dynamics, International Communications in Heat and Mass Transfer, 2021, 123, 105173.
J. Zhao, N. Zhou, K. Zhang, S. Chen, and Y. Liu, Study on stretching liquid bridges with symmetric and asymmetric surface wettability, Phys. Rev. Fluids, 2020, 5, 064003.
J. Zhao, S. Chen and Y. Liu, Spontaneous wetting transition of droplet coalescence on immersed micropillared surfaces, Applied Mathematical Modelling, 2018, 63: 390-404.
J. Zhao, S. Chen and N. Phan-Thien, Viscometric flow for a many-body dissipative particle dynamics (MDPD) fluid with Lees-Edwards boundary condition, Molecular Simulation, 2018, 44(3): 213-224.
J. Zhao, S. Chen and N. Phan-Thien, Rheology of polymers in many-body dissipative particle dynamics simulations: Schmidt number effect, Molecular Simulation, 2018 44(10): 797-814.
J. Zhao, S. Chen and Y. Liu, Dynamical behaviors of droplet impingement and spreading on chemically heterogeneous surfaces, Applied Surface Science, 2017, 400: 515-523.
J. Zhao and S. Chen, Following or against topographic wettability gradient: movements of droplets on a micropatterned Surface, Langmuir, 2017, 33: 5328-5335.
荣誉与奖励
2024年获批上海理工大学“志远计划”;
2021年获批上海理工大学“思学计划”;
2020年上海理工大学青年教师教学竞赛二等奖;
主讲课程
【本科生课程】计算方法、燃气机原理及应用、透平的强度与振动等、力学通识
【研究生课程】高等流体力学、深度学习赋能能源与动力工程前沿