most citedData-Driven Modeling of Geometry-Adaptive Steady Heat Transfer based on Convolutional Neural Networks: Heat Convection

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

physics.app-ph2021★ 2 cited

Data-Driven Modeling of Geometry-Adaptive Steady Heat Transfer based on Convolutional Neural Networks: Heat Convection

Jiang-Zhou Peng, Xianglei Liu, Nadine Aubry +2

In this paper, based on neural networks, we develop a data-driven model for extremely fast prediction of steady-state heat convection of a hot object with arbitrary complex geometr…

physics.app-ph2020

Data-Driven Modeling of Geometry-Adaptive Steady Heat Transfer based on Convolutional Neural Networks: Heat Conduction

Jiang-Zhou Peng, Xianglei Liu, Nadine Aubry +2

Numerical simulation of steady-state heat conduction is common for thermal engineering. The simulation process usually involves mathematical formulation, numerical discretization a…