9 citations · 11 across the 2 of their papers we have counts for
7 papers
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…
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…
A One-Dimensional Discrete Boltzmann Model for Detonation and an Abnormal Detonation Phenomenon
Yudong Zhang, Aiguo Xu, Guangcai Zhang +1
A one-dimensional discrete Boltzmann model for detonation simulation is presented. Instead of numerical solving Navier-Stokes equations, this model obtains the information of flow…
Comparative Study on Several Criteria for Non-equilibrium Phase Separation
Yudong Zhang, Aiguo Xu, Guangcai Zhang +1
Several different kinds of criteria for non-equilibrium phase separation to discriminate the two stages, the spinnodal decompostion (SD) and domain growth (DG), are compared and fu…
Entropy production in thermal phase separation: a kinetic-theory approach
Yudong Zhang, Aiguo Xu, Guangcai Zhang +3
Entropy production during the process of thermal phase-separation of multiphase flows is investigated by means of a discrete Boltzmann kinetic model. The entropy production rate is…
Discrete Boltzmann method for non-equilibrium flows: based on Shakhov model
Yudong Zhang, Aiguo Xu, Guangcai Zhang +2
A general framework for constructing discrete Boltzmann model for non-equilibrium flows based on the Shakhov model is presented. The Hermite polynomial expansion and a set of discr…