Welcome! I’m a graduate student in Human-Machine and Environmental Engineering at Beihang University. My research focuses on scientific machine learning and rarefied gas dynamics. I have a keen interest in developing model algorithms to tackle physics problems. As someone who enjoys pondering over questions and seeking solutions, I continuously explore the intersection of science and technology. Feel free to explore my personal website to learn more about my research and areas of interest.
Interests
- Scientific Machine Learning
- Data-driven Surrogate Modeling
- Physics-informed Neural Networks
- Rarefied Gas Dynamics
Education
M.S. in Human-Machine and Environment Engineering (in progress)
Beihang University
Exchange Student in Mathematical Engineering, 2023
Politecnico di Milano
B.E. in Mechanics Engineering, 2022
Beihang University
Experience
Research Intern
MOX
Development of a data-driven surrogate modeling using shape-informed framework to deal with problems with variable domain.
Open Source Promotion Plan (OSPP 2023)
Developed PDE solvers based on the framework of PaddleScience with deep learning algorithms.
Contact
- lyzhangnna@gmail.com
- Xueyuan Road, 37, Beijing, Beijing 100191
- School of Aeronautic Science and Engineering