Li Mingjian is an Assistant Professor at Beijing Institute of Technology. He received his bachelor's degree from Beijing Institute of Technology, and both his master's and doctoral degrees from the University of Chinese Academy of Sciences, where he focused on fluid mechanics and fluid-structure interaction problems. After completing his postdoctoral research in computational mechanics at Tsinghua University, he served as an engineer at Qian Xuesen Laboratory of the China Academy of Space Technology, and later joined the faculty at Beijing Institute of Technology. He has been engaged in long-term research on multi-physics coupling, with a particular emphasis on numerical simulation methods for fluid-structure interaction. He has led over 10 projects and developed a computational mechanics software consisting of 170,000 lines of code. 

His research interests primarily lie in numerical simulation methods for multi-physics coupling problems in additive manufacturing, computational fluid dynamics, and fluid-structure interaction problems, as well as novel methods combining artificial intelligence with mechanics.

[1] Biao Zhang, Yanping Lian*, Ming-Jian Li, Chunpeng Wang, Ruxin Gao. Mechanical characterization of lattice structures fabricated by selective laser melting via an image-based finite cell method with a damage model.Materials&Design2024,244:113168.DOI:10.1016/j.matdes.2024.113168.

[2] Lehui Li, Yanping Lian*, Ming-Jian Li, Ruxin Gao, Yong Gan. A contact method for B-spline material point method with application in impact and penetration problems. Computational Mechanics 2024, 73: 1351-1369. DOI: 10.1007/s00466-023-02414-8

[3] Feiyu Xiong, Yanping Lian*, Ming-Jian Li, Jiaqi Ouyang, Yufan Liu. An extended cellular automaton finite volume method for grain nucleation–growth–coarsening during the wire-based additive manufacturing process. Additive Manufacturing 2023, 76: 103782. DOI: 10.1016/j.addma.2023.103782

[4] Yanping Lian*, Jiawei Chen, Ming-Jian Li*, Ruxin Gao. A multi-physics material point method for thermo-fluid-solid coupling problems in metal additive manufacturing processes. Computer Methods in Applied Mechanics and Engineering 2023, 416: 116297. DOI: 10.1016/j.cma.2023.116297

[5] Chunpeng Wang, Yanping Lian*, Ruxin Gao*, Feiyu Xiong, Ming-Jian Li. A multi-point synergistic gradient evolution method for topology optimization leveraging neural network with applications in converged and diverse designs. Computational Mechanics 2024, 73: 105-122. DOI: 10.1007/s00466-023-02358-z

[6] Jiaqi Ouyang, Ming-Jian Li*, Yanping Lian*, Siyi Peng, Changmeng Liu. A fast prediction model for liquid metal transfer modes during the wire arc additive manufacturing process. Materials 2023, 16(7): 2911. DOI: 10.3390/ma16072911

[7] Ming-Jian Li, Jiawei Chen, Yanping Lian*, Feiyu Xiong, Daining Fang. An efficient and high-fidelity local multi-mesh finite volume method for heat transfer and fluid flow problems in metal additive manufacturing. Computer Methods in Applied Mechanics and Engineering 2023, 404: 115828. DOI: 10.1016/j.cma.2022.115828

[8] Feng Xu, Feiyu Xiong, Ming-Jian Li, Yanping Lian*. Three-dimensional numerical simulation of grain growth during selective laser melting of 316L stainless steel. Materials 2022, 15: 6800. DOI: 10.3390/ma15196800 (Editor's Choice)

[9] Ming-Jian Li, Yanping Lian*, Xiong Zhang*. An immersed finite element material point (IFEMP) method for free surface fluid–structure interaction problems. Computer Methods in Applied Mechanics and Engineering 2022, 393: 114809. DOI: 10.1016/j.cma.2022.114809

[10] Ming-Jian Li, Meng Li*, Yu-Fei Liu, Xin-Yu Geng, Yuan-Yuan Li. A review on the development of spaceborne membrane antennas. Space: Science & Technology 2022: 9803603. DOI: 10.34133/2022/9803603

[11] Ming-Jian Li, Meng Li*, Yu-Fei Liu, Cheng-Bo Cui. Theoretical and numerical studies on multi‐physical issues of space parabolic membrane antennas. IET Microwaves, Antennas & Propagation 2021, 15(12): 1625–1635. DOI: 10.1049/mia2.12172

[12] Ming-Jian Li*. Interaction between free surface flow and moving bodies with a dynamic mesh and interface geometric reconstruction approach. Computers & Mathematics with Applications 2021, 81: 649-663. DOI: 10.1016/j.camwa.2020.01.020

[13] Ming-Jian Li, Nian-Mei Zhang*, Ming-Jiu Ni*. Magneto-fluid-str-ucture interaction issues for vibrating rigid bodies in conducting flu-ids: The numerical and the analytical approaches. Computers & St-ructures 2018, 210: 41-57. DOI: 10.1016/j.compstruc.2018.09.002

[14] Long Chen, Ming-Jian Li, Ming-Jiu Ni, Nian-Mei Zhang*. MHD effects and heat transfer analysis in magneto-thermo-fluid-structure coupled field in DCLL blanket. International Communications in Heat and Mass Transfer2017,84:110-120.DOI:10.1016/j.icheatmasstransfer.2017.04.009

[15] Ming-Jian Li, Xu-Dong Wang, Nian-Mei Zhang*. Comparative study on the performance of serrated interfaces in multi-layer pavements. Road Materials and Pavement Design 2017, 18(3): 670-686. DOI: 10.1080/14680629.2016.1182940

[16] Long Chen, Shi-Jing Xu, Ming-Jian Li, Ming-Jiu Ni, Nian-Mei Zhang*. Study on the impacts of pressure equalization slots on MHD flow and safety of FCI in DCLL blanket. Fusion Engineering and Design 2017, 122:204-210. DOI: 10.1016/j.fusengdes.2017.08.016

[17] Ming-Jian Li, Jun-Hua Pan, Ming-Jiu Ni, Nian-Mei Zhang*. Heattransfer and thermal stress analysis in fluid-structure coupled field.Applied Thermal Engineering 2015,88(5):473-479.DOI: 10.1016/j.applthermaleng.2014.09.071