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Multi-fidelity surrogate modeling for temperature field prediction using
  deep convolution neural network

Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network

17 January 2023
Yunyang Zhang
Zhiqiang Gong
Weien Zhou
Xiaoyu Zhao
Xiaohu Zheng
W. Yao
    AI4CE
ArXivPDFHTML

Papers citing "Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network"

4 / 4 papers shown
Title
Multi-fidelity prediction of fluid flow and temperature field based on
  transfer learning using Fourier Neural Operator
Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator
Yanfang Lyu
Xiaoyu Zhao
Zhiqiang Gong
Xiao Kang
W. Yao
AI4CE
37
24
0
14 Apr 2023
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations
Saurabh Deshpande
Stéphane P. A. Bordas
J. Lengiewicz
AI4CE
GNN
84
28
0
01 Nov 2022
Physics-informed Convolutional Neural Networks for Temperature Field
  Prediction of Heat Source Layout without Labeled Data
Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data
Xiaoyu Zhao
Zhiqiang Gong
Yunyang Zhang
Wen Yao
Xiaoqian Chen
OOD
AI4CE
77
91
0
26 Sep 2021
Recursive co-kriging model for Design of Computer experiments with
  multiple levels of fidelity with an application to hydrodynamic
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic
Loic Le Gratiet
AI4CE
88
292
0
02 Oct 2012
1