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A physics and data co-driven surrogate modeling approach for temperature
  field prediction on irregular geometric domain

A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain

15 March 2022
K. Bao
Wenjuan Yao
Xiaoya Zhang
Wei Peng
Yu Li
    AI4CE
ArXivPDFHTML

Papers citing "A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain"

6 / 6 papers shown
Title
Point-DeepONet: A Deep Operator Network Integrating PointNet for
  Nonlinear Analysis of Non-Parametric 3D Geometries and Load Conditions
Point-DeepONet: A Deep Operator Network Integrating PointNet for Nonlinear Analysis of Non-Parametric 3D Geometries and Load Conditions
Jangseop Park
Namwoo Kang
AI4CE
3DPC
50
1
0
24 Dec 2024
Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal
  Deformation of Satellites
Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites
Zeyu Cao
Wenjuan Yao
Wei Peng
Xiaoya Zhang
K. Bao
AI4CE
29
10
0
01 Sep 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
69
90
0
26 Sep 2021
Mosaic Flows: A Transferable Deep Learning Framework for Solving PDEs on
  Unseen Domains
Mosaic Flows: A Transferable Deep Learning Framework for Solving PDEs on Unseen Domains
Hengjie Wang
R. Planas
Aparna Chandramowlishwaran
Ramin Bostanabad
AI4CE
42
61
0
22 Apr 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
203
2,272
0
18 Oct 2020
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical
  Response Prediction
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction
Houpu Yao
Yi Gao
Yongming Liu
AI4CE
49
66
0
31 Jan 2020
1