Molecular dynamics (MD) has evolved into a ubiquitous, versatile and powerful
computational method for fundamental research in science branches such as biology …

Hydrodynamic instabilities such as Rayleigh–Taylor (RT) and Richtmyer–Meshkov (RM)
instabilities usually appear in conjunction with the Kelvin–Helmholtz (KH) instability and are …

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a
driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted …

Numerical simulation of fluids plays an essential role in modeling many physical
phenomena, such as weather, climate, aerodynamics, and plasma physics. Fluids are well …

Page 1 研究生力学丛书Mechanics Series for Graduate Students 湍流理论与模拟 Theory and
Modeling of Turbulence 张兆顺崔桂香许春晓著 Zhang Zhaoshun Cui Guixiang Xu Chunxiao …

Abstract Rayleigh–Taylor (RT) and Richtmyer–Meshkov (RM) instabilities are well-known
pathways towards turbulent mixing layers, in many cases characterized by significant mass …

This paper reviews the problems and successes of computing turbulent flow. Most of the flow
phenomena that are important to modern technology involve turbulence. The review is …

Large-eddy simulation (LES) was originally proposed for simulating atmospheric flows in the
1960s and has become one of the most promising and successful methodology for …

Over the last 50 years the large-eddy simulation (LES) technique has developed into one of
the most prominent numerical tools used to study transport processes in the atmospheric …

This review presents the state of the art of hybrid RANS/LES modeling for the simulation of
turbulent flows. After recalling the modeling used in RANS and LES methodologies, we …