Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Chang Feng Yan
Observed names:
Chang Yan,
Yan, Chang
Institutions:
Chinese Academy of Sciences,
Institute of Mechanics,
University of Chinese Academy of Sciences
Observed institutions:
University of Stuttgart,
Chinese Academy of Sciences,
Guangzhou Institute of Energy Conversion,
Institute of Mechanics,
University of Chinese Academy of Sciences
ORCID:
0000-0002-8791-2701
Observed ORCID:
0000-0002-8791-2701
OpenAlex ID:
A5001531315
On the preprocessing of physics-informed neural networks: How to better utilize data in fluid mechanics
2025
·
Shengfeng Xu
, Yuanjun Dai
, et al.
·
Journal of Computational Physics
·
49
Spatiotemporal parallel physics-informed neural networks: A framework to solve inverse problems in fluid mechanics
2023
·
Xu, Shengfeng
, Yan, Chang
, et al.
·
Physics of Fluids
·
31
A framework of data assimilation for wind flow fields by physics-informed neural networks
2024
·
Chang Yan
, Shengfeng Xu
, et al.
·
Applied Energy
·
30
Exploring hidden flow structures from sparse data through deep-learning-strengthened proper orthogonal decomposition
2023
·
Chang Yan
, Shengfeng Xu
, et al.
·
Physics of Fluids
·
24
On the Preprocessing of Physics-Informed Neural Networks: How to Better Utilize Data in Fluid Mechanics
2024
·
Shengfeng Xu
, Chang Yan
, et al.
·
SSRN Electronic Journal
·
8
Aerodynamic-Aeroacoustic Optimization of a Baseline Wing and Flap Configuration
2022
·
Shengjun Ju
, Zhenxu Sun
, et al.
·
Applied Sciences
·
6
PDF
Properties of Municipal Solid Waste Incineration (MSWI) Fly Ash during Heating Process
2012
·
Xiao Bo Wang
, Zeng Li Zhao
, et al.
·
Applied Mechanics and Materials
·
4
A Framework of Data Assimilation for Wind Flow Fields by Physics-Informed Neural Networks
2024
·
Chang Yan
, Shengfeng Xu
, et al.
·
SSRN Electronic Journal
·
3
Inferring Unsteady Wake Flow Fields From Partial Data by Physics-Informed Neural Networks
2022
·
Chang Yan
, Shengjun Ju
, et al.
·
2
On the Preprocessing of Physics-informed Neural Networks: How to Better Utilize Data in Fluid Mechanics
2024
·
Xu, Shengfeng
, Yan, Chang
, et al.
·
arXiv (Cornell University)
·
1
PDF
A Framework of Data Assimilation for Wind Flow Fields by Physics-informed Neural Networks
2024
·
Yan, Chang
, Xu, Shengfeng
, et al.
·
arXiv (Cornell University)
·
1
PDF
On the energy of high-frequency characteristics and the lock-in phenomena of transonic buffet
2023
·
Lianyi Wei
, Guannan Zheng
, et al.
·
Research Square
PDF
Simulation and Application of Fuzzy Control System with Integrator
2011
·
Ping Li
, Chang Feng Yan
, et al.
·
Advanced materials research
Show more works
View as search
Works count:
14
Citation count:
159
H-index:
6
I10-index:
4
Year
Topic
Type