Jinlong Fu
Alma Mater:Swansea University
Personal Profile
MORE+Jinlong Fu is a Full Professor in Computational Mechanics. He completed his PhD in Computational Mechanics at Swansea University in 2020. Following his doctorate, he spent over 5 years in the UK, Germany, and other European countries, focusing on AI‑enhanced computational mechanics. He is the recipient of the Alexander von Humboldt Fellowship from Germany, the Best PhD Thesis Award (the Roger...
[1] 2016.10 to 2020.09
Swansea University (United Kingdom)
| Computational Mechanics
| Doctor of Philosophy
[2] 2012.09 to 2015.06
Central South University
| Engineering Mechanics
| Master of Science
[3] 2008.09 to 2012.07
Dalian Jiaotong University
| Engineering Mechanics
| Bachelor of Engineering
[1] 2026.02 to Now
Dalian University of Technology
| School of Mechanics and Aerospace Engineering
| Full Professor
[2] 2025.06 to 2026.02
Leibniz University Hannover
| Faculty of Mathematics and Physics
| Humboldt Research Fellow
[3] 2023.10 to 2025.05
Queen Mary University of London
| School of Engineering and Materials Science
| Researcher
[4] 2020.09 to 2023.09
Swansea University
| Zienkiewicz Centre for Computational Engineering
| Postdoctoral Fellow
[5] 2015.10 to 2016.09
The Hong Kong Polytechnic University
| Department of Civil and Environmental Engineering
| Research Assistant
Research Focus
MORE+
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。
Social Affiliations
MORE+2025.04 to 2026.09
特邀编辑：在国际权威计算力学类SCI学术期刊《Applied Mathematical Modelling》上，主持“智算-数算力学”专题特刊：Advances in AI-Enhanced Computational Mechanics: Bridging Data-Driven and Physics-Aware Paradigms
2024.02 to 2025.01
特邀编辑：在国际权威计算物理类SCI学术期刊《Computer Physics Communications》上，主持“物理感知智能计算”专题特刊：Advances in Physics-Aware Machine Learning