Shizheng Wen
Shizheng Wen (闻仕政)
AI & Scientific Computing
Master student @ ETH
Email: shiwen@ethz.ch
Hi! I’m Shizheng, a second-year Master student at ETH Zurich, advised by Prof. Siddhartha Mishra. Get my CV here. My research interests lie in the intersection of AI and scientific computing:
- Differentiable Programming: FEM/FVM/FDM - MD - DFT
- Physics constrained Learning: Data - Model - Loss - Optimization
- AI for Science: Applied Physics/Mechanics/Mathematics
I received my bachelor’s degree of Aerospace Engineering with highest honor at Nanjing University of Aeronautics and Astronautics, where I worked on nanoscale heat transfer advised by Prof. Xianglei Liu. I have visited Duke University, working with Prof. Earl Dowell on AI & Aerodynamics. Before coming to ETH, I conducted molecular simulations with Prof. Wanlin Guo at the IFS and AI with Prof. Hao Sun at GSAI.
I have a great passion for natural sciences and engineering technology. Over the past few years, I have been continuously accumulating knowledge in various fields (mathematics, physics, computer science, robotics, biology etc.). I am dedicated to using multidisciplinary thinking to solve problems in different fields. If you are interested in my background, feel free to contact me!
news
| Apr 22, 2024 | Paper accepted at IJMS: Phase-field simulation and machine learning of low-field magneto-elastocaloric effect in a multiferroic composite |
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| Nov 13, 2023 | Paper accepted at TAML (joint work with Duke): Feature identification in complex fluid flows by convolutional neural networks |
| Jul 28, 2022 | Paper accepted at APL: A machine learning strategy for modeling and optimal design of near-field radiative heat transfer |