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6 papers · 2 filters
DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models
Yuzhi Zhang, Haidi Wang, Weijie Chen +4
In recent years, promising deep learning based interatomic potential energy surface (PES) models have been proposed that can potentially allow us to perform molecular dynamics simu…
An Efficient High-Order Gas-Kinetic Scheme (I): Euler equations
Shiyi Li, Yibing Chen, Song Jiang
In this paper, an efficient high-order gas-kinetic scheme (EHGKS) is proposed to solve the Euler equations for compressible flows. We re-investigate the underlying mechanism of the…
Unified gas-kinetic simulation for the system of multiscale radiation hydrodynamics
Wenjun Sun, Song Jiang, Kun Xu +1
This paper aims at the simulation of multiple scale physics in the system of radiation hydrodynamics. The system couples the fluid dynamic evolution equations with the radiative he…
Unified Gas-kinetic Wave-Particle Methods III: Multiscale Photon Transport
Weiming Li, Chang Liu, Yajun Zhu +2
In this paper, we extend the unified gas-kinetic wave-particle (UGKWP) method to the multiscale photon transport. In this method, the photon free streaming and scattering processes…
Deep learning inter-atomic potential model for accurate irradiation damage simulations
Hao Wang, Xun Guo, Linfeng Zhang +2
We propose a hybrid scheme that interpolates smoothly the Ziegler-Biersack-Littmark (ZBL) screened nuclear repulsion potential with a newly developed deep learning potential energy…
A Nonlinear Three-Moment Model for Radiative Transfer in Spherical Symmetry
Ruo Li, Weiming Li, Lingchao Zheng
We study the approximation of the radiative transfer equation with a relatively few moments in the spherically symmetric case. We propose a three-moment model based on choosing the…