赵进 - 首都师范大学 - 交叉科学研究院

个人简介

教育经历 2010-2014 西安交通大学数学试验班, 本科 2014-2017 西安交通大学数学与统计学院, 硕士 2017-2020 北京计算科学研究中心，博士工作经历 2013.08-2014.01，美国佐治亚理工学院（Georgia Tech），访问学者 2020.07-2022.06, 北京大学(数学科学学院)，博士后，导师：张平文教授承担课程高等代数（2022-2023）科研项目 2020.11-2022.06 中国博士后科学基金第68批面上（一等）

研究领域

机器学习，格子玻尔兹曼方法，非平衡态热力学

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1] J. Zhao, W. Zhao, Z. Ma, W.-A. Yong, and B. Dong. Finding models of heat conduction via machine learning. International Journal of Heat and Mass Transfer 185:122396, 2022. [2] J. Zhao. Discrete-velocity vector-BGK models based numerical methods for the incompressible Navier-Stokes equations. Communications in Computational Physics, 29(2):420–444, 2020. [3] J. Zhao, Z. Zhang, and W.-A. Yong. Vector-type boundary schemes for the lattice Boltzmann method based on vector-BGK models. SIAM Journal on Scientific Computing, 42(5):1250–1270, 2020. [4] J. Zhao, W. Zhao, and Z. Zhang. Second-order boundary schemes for the lattice Boltzmann method with general propagation. Journal of Computational Physics, 419:109669, 2020. [5] J. Zhao and Z. Zhang. Seven-velocity three-dimensional vectorial lattice Boltzmann method including various types of approximations to the pressure and two-parameterized second-order boundary treatments. Computers & Mathematics with Applications 80(12):2764-2779, 2020. [6] J. Zhao, Z. Zhang, and W.-A. Yong. Approximation of the multi-dimensional incompressible Navier-Stokes equations by discrete-velocity vector-BGK models. Journal of Mathematical Analysis and Applications, 486(2):123901, 2020.