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20212023
most citedMulti-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator

59 citations · 105 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.LG2023

Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global Field Reconstruction

Yunyang Zhang, Zhiqiang Gong, Xiaoyu Zhao +1

Recovering a globally accurate complex physics field from limited sensor is critical to the measurement and control in the aerospace engineering. General reconstruction methods for…

cs.LG2023★ 2 cited

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

Yunyang Zhang, Zhiqiang Gong, Weien Zhou +3

Temperature field prediction is of great importance in the thermal design of systems engineering, and building the surrogate model is an effective way for the task. Generally, larg…

cs.LG2022★ 1 cited

Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction

Xiaohu Zheng, Wen Yao, Zhiqiang Gong +3

For the temperature field reconstruction (TFR), a complex image-to-image regression problem, the convolutional neural network (CNN) is a powerful surrogate model due to the convolu…

cs.LG2022★ 2 cited

A deep learning method based on patchwise training for reconstructing temperature field

Xingwen Peng, Xingchen Li, Zhiqiang Gong +2

Physical field reconstruction is highly desirable for the measurement and control of engineering systems. The reconstruction of the temperature field from limited observation plays…

cs.LG2021★ 11 cited

Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data

Xiaoyu Zhao, Zhiqiang Gong, Yunyang Zhang +2

Recently, surrogate models based on deep learning have attracted much attention for engineering analysis and optimization. As the construction of data pairs in most engineering pro…

cs.LG2021

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

Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao +2

Temperature field reconstruction of heat source systems (TFR-HSS) with limited monitoring sensors occurred in thermal management plays an important role in real time health detecti…