A Machine Learning Surrogate Modeling Benchmark for Temperature Field Reconstruction of Heat-Source Systems

17 August 2021

Papers citing "A Machine Learning Surrogate Modeling Benchmark for Temperature Field Reconstruction of Heat-Source Systems"

5 / 5 papers shown

Title
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
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 39 11 0 22 Jun 2021
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning Kai Fukami R. Maulik Nesar Ramachandra K. Fukagata Kunihiko Taira 47 143 0 03 Jan 2021
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 226 2,287 0 18 Oct 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015