Temperature Field Inversion of Heat-Source Systems via Physics-Informed
Neural Networks

Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks

18 January 2022

Papers citing "Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks"

8 / 8 papers shown

Title
A physics-driven sensor placement optimization methodology for temperature field reconstruction Xu Liu Wen Yao Wei Peng Zhuojia Fu Zixue Xiang Xiaoqian Chen 20 2 0 27 Sep 2024
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains Yusuke Yamazaki Ali Harandi Mayu Muramatsu A. Viardin Markus Apel T. Brepols Stefanie Reese Shahed Rezaei AI4CE 26 12 0 21 May 2024
Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations Taniya Kapoor Hongrui Wang Alfredo Núñez R. Dollevoet AI4CE PINN 4 15 0 01 Nov 2023
Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites Zeyu Cao Wenjuan Yao Wei Peng Xiaoya Zhang K. Bao AI4CE 24 10 0 01 Sep 2022
Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data Xu Liu Wenjuan Yao Wei Peng Weien Zhou PINN AI4CE 41 25 0 14 May 2022
A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain K. Bao Wenjuan Yao Xiaoya Zhang Wei Peng Yu Li AI4CE 15 10 0 15 Mar 2022
A Machine Learning Surrogate Modeling Benchmark for Temperature Field Reconstruction of Heat-Source Systems Xiaoqian Chen Zhiqiang Gong Xiaoyu Zhao Weien Zhou Wen Yao AI4CE 18 21 0 17 Aug 2021
Joint Deep Reversible Regression Model and Physics-Informed Unsupervised Learning for Temperature Field Reconstruction Zhiqiang Gong Weien Zhou Jun Zhang Wei Peng W. Yao AI4CE 29 11 0 22 Jun 2021