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

5 citations · 7 across the 2 of their papers we have counts for

collaborators

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★ 5 cited

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…