1个人简介
陈云鹏，河套数学与交叉学科研究院（深圳）助理教授。2025年获得利兹大学地球物理学博士学位，期间与南方科技大学联合培养。主要从事人工智能+地球物理交叉学科研究，致力于开发和应用人工智能方法解决受偏微分方程约束的复杂地球物理正反演问题。以第一作者/通讯作者身份在Geophysical Research Letters和 Journal of Geophysical Research: Solid Earth期刊上发表论文，研究成果曾获 GRL Top Downloaded Article (Top 10%) 荣誉。担任Journal of Geophysical Research: Solid Earth、Geophysics和中国科学：地球科学等期刊的审稿人。
2研究兴趣
人工智能地球物理学
物理信息神经网络
地震波层析成像及反演理论
地球深部结构研究
3教育经历
博士/2020-2025 利兹大学 地球物理学
硕士/2018-2020 哈尔滨工业大学 力学
本科/2014-2018 中国地质大学（武汉） 勘查技术与工程
4出版物
1）Chen Y, de Ridder S A L, Rost S, et al. Eikonal Tomography With Physics‐Informed Neural Networks: Rayleigh Wave Phase Velocity in the Northeastern Margin of the Tibetan Plateau[J]. Geophysical Research Letters, 2022, 49(21): e2022GL099053.
2）Chen Y, de Ridder S A L, Rost S, et al. Physics‐Informed Neural Networks for Elliptical‐Anisotropy Eikonal Tomography: Application to Data From the Northeastern Tibetan Plateau[J]. Journal of Geophysical Research: Solid Earth, 2023, 128(12): e2023JB027378.
Yunpeng Chen
Email: chenypdk_06@126.com
Research Area: Geophysics
1. Biography
Yunpeng Chen is an Assistant Professor at the Hetao Institute of Mathematics and Interdisciplinary Sciences (HIMIS), Shenzhen. He received his Ph.D. in Geophysics from the University of Leeds in 2025, jointly trained with the Southern University of Science and Technology. His research primarily focuses on the interdisciplinary field of AI + Geophysics. He is dedicated to developing and applying artificial intelligence methods to solve complex geophysical forward and inverse problems constrained by partial differential equations (PDEs). As a first/corresponding author, he has published papers in journals such as Geophysical Research Letters and the Journal of Geophysical Research: Solid Earth. His research has been honored as a GRL Top Downloaded Article (Top 10%). He serves as a reviewer for journals including the Journal of Geophysical Research: Solid Earth, Geophysics, and SCIENCE CHINA Earth Sciences.
2. Research Interests
· AI Geophysics
· Physics-Informed Neural Networks
· Seismic Tomography and Inversion Theory
· Deep Earth Structure
3. Education
· Ph.D. / 2020-2025 University of Leeds / Geophysics
· M.S. / 2018-2020 Harbin Institute of Technology / Mechanics
· B.S. / 2014-2018 China University of Geosciences (Wuhan) / Exploration Technology and Engineering
4. Publications
1. Chen Y, de Ridder S A L, Rost S, et al. Eikonal Tomography With Physics‐Informed Neural Networks: Rayleigh Wave Phase Velocity in the Northeastern Margin of the Tibetan Plateau[J]. Geophysical Research Letters, 2022, 49(21): e2022GL099053.
2. Chen Y, de Ridder S A L, Rost S, et al. Physics‐Informed Neural Networks for Elliptical‐Anisotropy Eikonal Tomography: Application to Data From the Northeastern Tibetan Plateau[J]. Journal of Geophysical Research: Solid Earth, 2023, 128(12): e2023JB027378.