Zijie

Zijie Li

I am a Ph.D. student in Mechanical Engineering at Carnegie Mellon University, advised by Prof. Amir Barati Farimani. I study numerical methods and machine learning, with the goal of building robust and scalable data-driven models to accelerate and improve traditional scientific computing methods in different mechanical domains. Prior to CMU, I received a Bachelor of Engineering in Theoretical and Applied Mechanics from Sun Yat-sen University in Guangzhou, China. During my spare time, I enjoy working out at the gym, and watching Lakers’ NBA games.

Publications

1. Zijie Li, A. Barati Farimani "Graph neural network-accelerated Lagrangian fluid simulation", Computers and Graphics, 2022, 103, 201-211.


2. Zijie Li, Kazem Meidani, Prakarsh Yadav, A. Barati Farimani "Graph Neural Network Accelerated Molecular Dynamics ", Journal of Chemical Physics, 156, 144103, 2022.