肖敏，女，1992年生，博士，讲师，硕士生导师。2014年7月获得南京师范大学数学与应用数学（师范类）学士学位；2019年7月获得中国工程物理研究院计算数学博士学位；2019年7月至2022年9月进入北京理工大学力学流动站开展博士后工作；2022年10月至今进入太阳集团网tyc9728（北京）理学院工作。主要从事计算流体力学和计算爆炸力学领域的研究，在流体力学方程组的传统数值方法以及深度学习方法上取得了一些研究进展，发表期刊论文10余篇，其中以第一作者与通讯作者发表论文10篇，授权发明专利1项。主持国家自然科学基金青年项目、计算物理重点实验室开放课题、太阳集团网tyc9728北京校人才引进科研启动基金等多个科研项目，参与国家重点研发计划、国家自然科学基金重点项目、国防项目十余项。
E-mail:852071690@qq.com
代表性论著：
[1] Xiao Min, Xu Xihua*, A generic framework for solving three-dimensional gas dynamics equations. Computers and Mathematics with Applications, 2026, 206: 152–175.
[2] Xiao Min, Zhang Jinkang, Zhu Zijin, Zhang Meina*, Blind deblurring with intermediate correction using the dark channel prior. AIMS Mathematics, 2025, 10(3): 7086-7098.
[3] Xu Xihua, Xiao Min*, Unification of Lagrangian staggered-grid hydrodynamics and cell-centered hydrodynamics in two dimension. Physics of Fluids, 2025, 37(3).
[4] Ma Wenhua, Luo Dongmi, Ying Wenjun, Ni Guoxi, Xiao Min*, Chen Yibing. Adaptive multi-resolution method for 3D reactive flows with level set front capturing. Communications in Computational Physics, 2023, 33: 849-883.
[5] Xiao Min, Ni Guoxi*, Niu Xiao. A robust interface method for reactive fluids with sharp interface. Computers and Fluids, 2021, 223: 104915.
[6] Xiao Min, Ni Guoxi, Wang Cheng*, Yang Tonghui. Front capturing by level set method for the reactive Euler equations. International Journal for Numerical Methods in Fluids, 2021, 93: 2723–2743.
[7] Xiao Min, Fan Jishan, Ni Guoxi*. Weak solutions to the Ginzburg–Landau model in superconductivity with the Coulomb gauge. Mathematical Methods in the Applied Sciences, 2017, 40(8): 2872-2877.
[8] Xiao Min, Xu Xihua, Ni Guoxi*. An arbitrary Lagrangian-Eulerian type moving mesh generalized Riemann problem scheme for reactive flows. Chinese Journal of Computational Physics, 2020, 37(02): 127-139.
[9]肖敏,王成*,杨同会.含空穴炸药硝基甲烷冲击转爆轰过程的数值模拟.爆炸与冲击, 2025, 45(9): 092301.
[10]肖敏,王立群*.多组分反应流的爆轰波捕捉方法.计算物理, 2025, 42(5): 619-630.
[11] Zhang Meina, Cui Qingjie, Xiao Min, Ni Guoxi*. Deep learning accelerated numerical simulation for three-dimensional compressible fluids. Physics of Fluids, 2024, 36(7).
[12] Cui Qingjie, Zhang Meina, Xiao Min, Ni Guoxi*. Transformer based deep learning accelerated numerical simulation for incompressible flow. Physics of Fluids, 2024, 36(12).
[13] Zhen Yaxin, Xiao Min, Ni Guoxi*. Multi-scale kinetic scheme for the collisional Vlasov-Poisson system. Computers and Fluids, 2016, 140: 289-296.
[14] Zeng Xianyang, Xiao Min, Ni Guoxi*. An efficient numerical method for reactive flow with general equation of states. International Journal for Numerical Methods in Fluids, 2016, 82(10): 631-645.
发明专利：
[1]王成，肖敏，昝文涛，杨同会. 一种基于广义黎曼解法器的爆炸反应流高精度预测方法. ZL202110771451.5
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