One characteristic trait of space plasmas is the multi-scale dynamics resulting from non-
linear transfers and conversions of various forms of energy. Routinely evidenced in a range …

Star formation is a complex multi-scale phenomenon that is of significant importance for
astrophysics in general. Stars and star formation are key pillars in observational astronomy …

大涡模拟方法(LES) 是研究复杂湍流问题的重要工具, 在航空航天, 湍流燃烧, 气动声学,
大气边界层等众多工程领域中具有广泛的应用前景. 大涡模拟方法采用粗网格计算大尺度上的 …

Spatial artificial neural network (ANN) models are developed for subgrid-scale (SGS) forces
in the large eddy simulation (LES) of turbulence. The input features are based on the first …

Compressible turbulence shapes the structure of the interstellar medium of our Galaxy and
likely plays an important role also during structure formation in the early Universe. The …

In this work, the subgrid-scale (SGS) stress and the SGS heat flux of compressible isotropic
turbulence are modeled by an artificial neural network (ANN) mixed model (ANNMM), which …

Here, we present an estimate for the ocean's global scale transfer of kinetic energy (KE),
across scales from 10 to 40,000 km. Oceanic KE transfer between gyre scales and …

A coarse-graining framework is implemented to analyze nonlinear processes, measure
energy transfer rates, and map out the energy pathways from simulated global ocean data …

Kinetic plasma turbulence cascade spans multiple scales ranging from macroscopic fluid
flow to sub-electron scales. Mechanisms that dissipate large scale energy, terminate the …

Observed turbulence in space and astrophysics is expected to involve cascade and
subsequent dissipation and heating. Contrary to standard collisional fluid turbulence, the …