张钊
副研究员
访问次数:
基本信息
  • 教师拼音名称:
    Zhang Zhao
  • 电子邮箱:
    zhaozhang@sdu.edu.cn
  • 入职时间:
    2020-09-23
  • 所在单位:
    高等研究院、数学与交叉科学研究中心、非线性期望前沿科学研究中心
  • 职务:
    副研究员
  • 学历:
    研究生(博士后)
  • 办公地点:
    华岗苑东楼
  • 性别:
  • 学位:
    博士生
  • 在职信息:
    在职
  • 毕业院校:
    英国拉夫堡大学
  • 硕士生导师
学科:
计算数学;
教师简介

张钊,山东大学数学与交叉科学研究中心副研究员。2010年本科毕业于山东大学数学学院,2014年获得英国拉夫堡大学博士学位并于2014-2018年在英国赫瑞瓦特大学从事博士后研究,入选山东大学青年学者未来计划和省级人才项目。主要研究方向为计算流体力学、机器学习与不确定性量化,在Journal of Computational Physics等高水平期刊发表论文10多篇。


欢迎立志于从事数值计算、统计计算、机器学习等方面研究的同学加入团队。


Zhao Zhang, Associate Prefessor, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University. He graduated from School of Mathematics, Shandong University, in 2010, and obtained PhD degree in computational fluid dynamics from Loughborough University, UK, in 2014. He was a postdoctoral research associate at Heriot-Watt University, UK, from 2014-2018. His research interests include computational fluid dynamics, machine learning and uncertainty quantification. He has published more than 10 papers in journals including Journal of Computational Physics.


教育经历
  • 2011-10 — 2014-10
    英国拉夫堡大学 Loughborough University, UK
    计算流体力学 Computational Fluid Dynamics
    博士生 PhD
  • 2010-10 — 2011-9
    英国拉夫堡大学 Loughborough University, UK
    工业数学建模 Industrial Mathematical Modelling
    理学硕士 MSc
  • 2006-9 — 2010-6
    山东大学 Shandong University
    金融数学与金融工程 Financial Mathematics
    理学学士 BSc
工作经历
  • 2020-09-至今
    山东大学 Shandong University
    副研究员 Associate Professor
  • 2018-11 — 2020-09
    西南石油大学 Southwest Petroleum University
    讲师 Lecturer
  • 2014-11 — 2018-11
    英国赫瑞瓦特大学 Heriot-Watt University, UK
    博士后研究员 Postdoctoral Research Associate
科研成果
论文

1.  Xia Yan, Jingqi Lin, Yafeng Ju, Qi Zhang, Zhao Zhang, Liming Zhang, Jun Yao, Kai Zhang. A Finite-Volume Based Physics-Informed Fourier Neural Operator Network for Parametric Learning of Subsurface Flow.  Advances in Water Resources,  105087, 2025. 

2.  Ying Liu , Zhao Zhang  and Dongxiao Yu, Piyang Liu, Xia Yan, Kai Zhang. Conditional diffusion inversion for Darcy flows in heterogeneous porous media with random parameters.  Physics of Fluids,  37,  086623, 2025. 

3.  Xia Yan, Jingqi Lin, Sheng Wang, Zhao Zhang, Piyang Liu, Shuyu Sun, Jun Yao and Kai Zhang. Physics-Informed Neural Network Simulation of Two-Phase Flow in Heterogeneous and Fractured Porous Media.  Advances in Water Resources,  104731, 2024. 

4.  Zhao Zhang , Piyang Liu , Ying Liu , Tianyu Zeng  and Menghan Li. Ensemble Variational Bayesian Approximation for the Inversion and Uncertainty Quantification of Darcy Flows in Heterogeneous Porous Media with Random Parameters.  Journal of Computational Physics,  510,  113052, 2024. 

5.  Zhao Zhang , Xia Yan , Piyang Liu , Kai Zhang , Renmin Han  and Sheng Wang. A physics-informed convolutional neural network for the simulation and prediction of two-phase Darcy flows in heterogeneous porous media.  Journal of Computational Physics,  477,  111919, 2023. 

6.  Zhao Zhang. A physics-informed deep convolutional neural network for simulating and predicting transient Darcy flows in heterogeneous reservoirs without labeled data.  Journal of Petroleum Science and Engineering,  211,  2022. 

7.  Zhao Zhang , Jianchun Guo , Hao Liang  and Yuxuan Liu. Numerical simulation of skin factors for perforated wells with crushed zone and drilling-fluid damage in tight gas reservoirs.  Journal of Natural Gas Science and Engineering,  90,  103907, 2021. 

8.  Zhao Zhang , S. Geiger , M. Rood, C. Jacquemyn, M.D. Jackson, G.J. Hampson  and F.M.D. Carvalho, C.C.M.M. Silva, J.M. Silva, M.C. Sousa. Fast Flow Computation Methods on Unstructured Tetrahedral Meshes for Rapid Reservoir Modelling.  Computational Geosciences,  24,  641–661, 2020. 

9.  X. Yan , Z. Huang , J. Yao , Zhao Zhang  and P. Liu, Y. Li, D. Fan. Numerical simulation of hydro-mechanical coupling in fractured vuggy porous media using the equivalent continuum model and embedded discrete fracture model.  Advances in Water Resources,  126,  137-154, 2019. 

10.  Joanna Szmelter , Piotr K. Smolarkiewicz , Zhao Zhang  and Zhixin Cao. Non-oscillatory forward-in-time integrators for viscous incompressible flows past a sphere.  Journal of Computational Physics,  386,  365-383, 2019. 

11.  Zhao Zhang , Z. Yin  and X. Yan. A Workflow for Building Surface-Based Reservoir Models Using NURBS Curves, Coons Patches, Unstructured Tetrahedral Meshes and Open-Source Libraries.  Computers and Geosciences,  121,  12-22, 2018. 

12.  Zhao Zhang , S. Geiger , M. Rood , C. Jacquemyn , M.D. Jackson , G.J. Hampson , F.M.D. Carvalho  and C.C.M.M. Silva, J.M. Silva, M.C. Sousa. A tracing algorithm for flow diagnostics on fully unstructured grids with multipoint flux approximation.  SPE Journal,  22,  1946-1962, 2017. 

13.  J. Szmelter , Zhao Zhang  and P. Smolarkiewicz. An unstructured-mesh atmospheric model for nonhydrostatic dynamics: Towards optimal mesh resolution.  Journal of Computational Physics,  294,  363-381, 2015. 

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