501 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National University of Defense TechnologyCN4 papers
- Beijing Institute of TechnologyCN3 papers
- PLA Academy of Military ScienceCN3 papers
- Chinese Academy of SciencesCN2 papers
- Budapest University of Technology and EconomicsHU1 paper
- China Telecom1 paper
- China Telecom (China)CN1 paper
- Institute of Theoretical PhysicsCN1 paper
- Jiangxi Normal UniversityCN1 paper
- North China University of Water Resources and Electric PowerCN1 paper
- Peking UniversityCN1 paper
- RIKEN Center for Advanced Intelligence ProjectJP1 paper
4 papers · 1 filter
RBF-MGN:Solving spatiotemporal PDEs with Physics-informed Graph Neural Network
Zixue Xiang, Wei Peng, Wen Yao
Physics-informed neural networks (PINNs) have lately received significant attention as a representative deep learning-based technique for solving partial differential equations (PD…
Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data
Xu Liu, Wen Yao, Wei Peng +1
Physics-informed extreme learning machine (PIELM) has recently received significant attention as a rapid version of physics-informed neural network (PINN) for solving partial diffe…
Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks
Xu Liu, Wei Peng, Zhiqiang Gong +2
Temperature field inversion of heat-source systems (TFI-HSS) with limited observations is essential to monitor the system health. Although some methods such as interpolation have b…
A Machine Learning Surrogate Modeling Benchmark for Temperature Field Reconstruction of Heat-Source Systems
Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao +2
Temperature field reconstruction of heat source systems (TFR-HSS) with limited monitoring sensors occurred in thermal management plays an important role in real time health detecti…