Results 191 to 200 of about 938,072 (406)

Laminar, turbulent, or doubly turbulent?

Physics, 2010
Though often ignored, the normal component of a superfluid reveals much about turbulence in a two-fluid system.
openaire   +3 more sources

PyPlume: An Automated Python-Based Library for Analyzing Turbulent Plumes from bplume-WRF-LES Model

Journal of Open Research Software
WRF-bLES-Pyplume (PyPlume) is a generalized python-based library that has been developed to automate the computations of the plume characteristics, mean state, and turbulence characteristics of the plume and flow fields using the data generated from the ...
Thanh Tran, Kiran Bhaganagar
doaj   +1 more source

TURBULENCE OF BLOOD FLOW [PDF]

, 1959
W. E. Stehbens
openalex   +1 more source

Bioinspired Microhinged Actuators for Active Mechanism‐Based Metamaterials

Advanced Science
Mechanism‐based metamaterials, comprising rigid elements interconnected by flexible hinges, possess the potential to develop intelligent micromachines with programmable motility and morphology.
Zi‐Yi Cao, Huayang Sai, Weiwei Wang, Kai‐Cheng Yang, Linlin Wang, Pengyu Lv, Huiling Duan, Tian‐Yun Huang   +7 more
doaj   +1 more source

Fading of Radio Waves Scattered by Dielectric Turbulence [PDF]

, 1957
Richard A. Silverman
openalex   +1 more source

Winds and Turbulence in the Upper Atmosphere [PDF]

, 1951

openalex   +1 more source

Monte-Carlo Integration Based Multiple-Scattering Channel Modeling for Ultraviolet Communications in Turbulent Atmosphere [PDF]

arXiv
Modeling of multiple-scattering channels in atmospheric turbulence is essential for the performance analysis of long-distance non-line-of-sight (NLOS) ultraviolet (UV) communications. Existing works on the turbulent channel modeling for NLOS UV communications either ignored the turbulence-induced scattering effect or erroneously estimated the turbulent
arxiv  

Experimental Investigation of Turbulence Diffusion—A Factor in Transportation of Sediment in Open-Channel Flow [PDF]

, 1945
E. R. Van Driest
openalex   +1 more source

Physics‐informed neural networks (PINNs) for high‐resolutional prediction of shear stress on cells in suspension culture

AIChE Journal, EarlyView.
Abstract The effect of shear stress on cell behaviors should be considered for designing the suspension culture of mammalian cells. Computational flow dynamics (CFD) is a promising tool for estimating shear stress on cells, but the accuracy is limited due to resolution limitations.
Ikki Horiguchi, Keisuke Shima, Yasunori Okano   +2 more
wiley   +1 more source

Comments on ``Space-Time Correlations in Stationary Isotropic Turbulence'' [PDF]

, 1959
Robert H. Kraichnan
openalex   +1 more source