傅金龙

个人信息Personal Information

教授

博士生导师

硕士生导师

毕业院校:斯旺西大学

学位:博士

所在单位:力学与航空航天学院

学科:工程力学. 计算力学

办公地点:海宇楼418室

联系方式:

移动版主页

个人简介Personal Profile

傅金龙,汉族中共党员,硕/博士生导师。

国家级青年人才,德国“洪堡学者”,辽宁省兴辽英才计划”青年拔尖人才,荣获英国计算力学学会最优博士论文奖(年度唯一)与年度突出贡献奖。

数智计算力学课题组主要从事AI与计算力学深度融合的“数算力学”与“智算力学”研究,致力于发展一套精准且高效的跨尺度多物理数智计算方法与理论框架。

导师治学严谨、谦和有为、温良包容;课题组和谐融洽、经费充足、平台优越,热忱欢迎硕士/博士研究生及博士后加盟,共探学术前沿,同铸卓越未来。

近三年的硕士\博士研究生名额充裕,诚邀全国优秀学子踊跃报考。课题组将为每位研究生提供丰厚的助学金、充足的培养经费、广泛的学术交流机会及海外联合培养资源,助力学生在科研道路上不断突破、茁壮成长。

邮箱:jinlong.fu@dlut.edu.cn;jinlongfu@sina.cn

近五年的代表性论文:

[1] Jinlong Fu and Wei Tan. Stochastic reconstruction of multiphase composite microstructures using statistics-encoded neural network for poro/micro-mechanical modelling. Computer Methods in Applied Mechanics and Engineering, 2025, 441:117986. (IF: 7.300, 中科院1Top)

[2] Jinlong Fu, Dunhui Xiao, Rui Fu, Chenfeng Li, Chuanhua Zhu, Rossella Arcucci and Ionel M. Navon. Physics-data combined machine learning method for parametric reduced-order modelling of nonlinear dynamical systems in small-data regimes. Computer Methods in Applied Mechanics and Engineering, 2023, 404:115771. (IF: 7.200, 中科院1Top)

[3] Jinlong Fu, Min Wang, Dunhui Xiao, Shan Zhong, Xiangyun Ge, Minglu Wu and Ben Evans. Hierarchical reconstruction of 3D well-connected porous media from 2D exemplars using statistics-informed neural network. Computer Methods in Applied Mechanics and Engineering, 2023, 410:116049. (IF: 7.200, 中科院1Top)

[4] Jinlong Fu, Shaoqing Cui, Song Cen and Chenfeng Li. Statistical characterization and reconstruction of heterogeneous microstructures using deep neural network. Computer Methods of Applied Mechanics and Engineering, 2021, 373:113516. (IF: 6.756, 中科院1Top)

[5] Jinlong Fu, Dunhui Xiao, Dongfeng Li, Hywel R. Thomas and Chenfeng Li. Stochastic reconstruction of 3D microstructures from 2D cross-sectional images using machine learning-based characterization. Computer Methods in Applied Mechanics and Engineering, 2022, 390:114532. (IF: 6.588, 中科院1Top)

[6] Jinlong Fu, Hywel R. Thomas and Chenfeng Li. Tortuosity in Porous Media: Image Analysis and Physical Simulation, Earth-Science Reviews, 2021, 212:103439. (IF: 12.413, 中科院1Top)

[7] Jinlong Fu, Min Wang, Bin Chen, Jinsheng Wang, Dunhui Xiao, Min Luo and Ben Evans. A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation. Engineering with Computers, 2023,39(6): 3895-3926. (IF: 8.700, 中科院Top)

[8] Jinlong Fu*, Wei Tan*, Dunhui Xiao* and Xiaoying Zhuang*. Computational Intelligence in Stochastic Reconstruction of Porous Microstructures for Image-Based Poro/Micro-Mechanical Modeling. Archives of Computational Methods in Engineering, 2026, 33:433-501. (IF: 12.100, 中科院1Top)

[9] Chuahua Zhu, Dunhui Xiao, Jinlong Fu*, Yuntian Feng, Rui Fu and Jinsheng Wang. A data-driven computational framework for non-intrusive reduced-order modelling of turbulent flows passing around bridge piers. Ocean Engineering, 2024, 308: 118308. (IF: 5.500, 中科院Top)

[10] Min Luo, Siqi Zhong, Jiaxin Wu and Jinlong Fu*. A hybrid Conv-LSTM network with skip connections for nonlinear reduced-order modeling of spatiotemporal flow fieldsOcean Engineering, 2026, 347124033. (IF: 5.500, 中科院Top)

  • 教育经历Education Background
  • 工作经历Work Experience
  • 研究方向Research Focus
  • 社会兼职Social Affiliations
  • 计算多孔介质力学:利用数值计算方法来研究和预测由固体骨架与孔隙流体组成的多相材料,在外力、流体压力、温度及化学等因素作用下,发生的变形、流动与多物理场耦合行为。

  • 基于数据驱动的计算力学:利用材料/结构的高保真模拟数据或实验测量数据,直接替代或指导传统经验本构模型的构建与求解,从而预测力学行为的新型计算范式。

  • 基于物理-数据联合驱动的模型降阶以控制方程为物理骨架来保证模型泛化能力,利用少量高保真数据来修正\补偿非线性误差与简化偏差,实现对高维物理场快速/实时、准确且物理一致的预测。

团队成员Research Group

团队名称:先进结构分析与CAE软件研发团队

团队介绍:学科带头人:郭旭院士,主要从事先进结构优化设计、复合材料与超材料设计,以及CAE工业通用软件研发等前沿研究课题。