A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field
Prediction of Heat Source Layout

A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout

20 March 2021

Papers citing "A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout"

9 / 9 papers shown

Title
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 39 30 0 29 May 2023
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 Wen Yao AI4CE 49 24 0 14 Apr 2023
RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator Xiaoyu Zhao Xiaoqian Chen Zhiqiang Gong Weien Zhou Wen Yao Yunyang Zhang AI4CE 30 20 0 20 Feb 2023
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 33 10 0 15 Mar 2022
Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks Xu Liu Wei Peng Zhiqiang Gong Weien Zhou Wen Yao 32 54 0 18 Jan 2022
Data-informed Deep Optimization Lulu Zhang Z. Xu Yaoyu Zhang AI4CE 35 3 0 17 Jul 2021
Joint Deep Reversible Regression Model and Physics-Informed Unsupervised Learning for Temperature Field Reconstruction Zhiqiang Gong Weien Zhou Jun Zhang Wei Peng Wen Yao AI4CE 39 11 0 22 Jun 2021
Deep Joint Rain Detection and Removal from a Single Image Wenhan Yang R. Tan Jiashi Feng Jiaying Liu Zongming Guo Shuicheng Yan 146 989 0 25 Sep 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 475 15,657 0 02 Nov 2015