Results 41 to 50 of about 1,423,869 (377)

On the Determination of the Yield Surface within the Flow of Yield Stress Fluids using Computational Fluid Dynamics [PDF]

Journal of Applied Fluid Mechanics, Elsevier, 2018, 11, pp.971 - 982, 2018
A part of non-Newtonian fluids are yield stress fluids. They require a minimum stress to flow. Below this minimum value, yield stress fluids remain solid. To date, 1D and 2D numerical models have been used predominantly to study free surface flows. However, some phenomena have three-dimensional behaviour such as the appearance of the limit between the ...
arxiv   +1 more source

Insights into Flexible Bioinspired Fins for Unmanned Underwater Vehicle Systems through Deep Learning

Biomimetics
The last few decades have led to the rise of research focused on propulsion and control systems for bio-inspired unmanned underwater vehicles (UUVs), which provide more maneuverable alternatives to traditional UUVs in underwater missions. Recent work has
Brian Zhou, Kamal Viswanath, Jason Geder, Alisha Sharma, Julian Lee   +4 more
doaj   +1 more source

MDSuite: comprehensive post-processing tool for particle simulations

Journal of Cheminformatics, 2023
Particle-Based (PB) simulations, including Molecular Dynamics (MD), provide access to system observables that are not easily available experimentally. However, in most cases, PB data needs to be processed after a simulation to extract these observables ...
Samuel Tovey, Fabian Zills, Francisco Torres-Herrador, Christoph Lohrmann, Marco Brückner, Christian Holm   +5 more
doaj   +1 more source

General and exact pressure evolution equation [PDF]

Modern Physics Letters A, World Scientific Publishing, 2017, 381 (44), pp.3739-3742, 2020
A crucial issue in fluid dynamics is related to the knowledge of the fluid pressure. A new general pressure equation is derived from compressible Navier-Stokes equation. It is argued that this new pressure equation allows unifying compressible, low-Mach and incompressible approaches.
arxiv   +1 more source

Computational Steering for Computational Fluid Dynamics

, 2019
Most computational fluid dynamics (CFD) simulations require massive computational power, which is usually provided by traditional high-performance computing (HPC) environments. Often, simulations are executed on a massive number of CPU cores (O(1000)) that are hosted in a remote supercomputing center or an in-house supercomputing facility.
Linxweiler, Jan, Harwood, Adrian, Janssen, Christian F.   +2 more
openaire   +2 more sources

Prediction of multi-inputs bubble column reactor using a novel hybrid model of computational fluid dynamics and machine learning

Engineering Applications of Computational Fluid Mechanics, 2019
The combination of machine learning and numerical methods has recently become popular in the prediction of macroscopic and microscopic hydrodynamics parameters of bubble column reactors.
A. Mosavi, Shahabbodin Shamshirband, E. Salwana, K. Chau, J. Tah   +4 more
semanticscholar   +1 more source

Robotic Pectoral Fin Thrust Vectoring Using Weighted Gait Combinations

Applied Bionics and Biomechanics, 2012
A method was devised to vector propulsion of a robotic pectoral fin by means of actively controlling fin surface curvature. Separate flapping fin gaits were designed to maximize thrust for each of three different thrust vectors: forward, reverse, and ...
John S. Palmisano, Jason D. Geder, Ravi Ramamurti, William C. Sandberg, Banahalli Ratna   +4 more
doaj   +1 more source

Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): uncertainty quantification of geometric rupture risk parameters

BioMedical Engineering OnLine, 2019
Background Geometric parameters have been proposed for prediction of cerebral aneurysm rupture risk. Predicting the rupture risk for incidentally detected unruptured aneurysms could help clinicians in their treatment decision.
Leonid Goubergrits, Florian Hellmeier, Jan Bruening, Andreas Spuler, Hans-Christian Hege, Samuel Voss, Gábor Janiga, Sylvia Saalfeld, Oliver Beuing, Philipp Berg   +9 more
doaj   +1 more source

PolyPIC: the Polymorphic-Particle-in-Cell Method for Fluid-Kinetic Coupling [PDF]

Frontiers in Physics, 6 (2018), 100, 2018
Particle-in-Cell (PIC) methods are widely used computational tools for fluid and kinetic plasma modeling. While both the fluid and kinetic PIC approaches have been successfully used to target either kinetic or fluid simulations, little was done to combine fluid and kinetic particles under the same PIC framework.
arxiv   +1 more source

The [2Fe‐2S] cluster of mitochondrial outer membrane protein mitoNEET has an O2‐regulated nitric oxide access tunnel

FEBS Letters, EarlyView.
The mitochondrial outer membrane iron–sulphur ([Fe‐S]) protein mitoNEET is a target of the type‐2 diabetes drug pioglitazone. Its unknown molecular function is linked to respiratory complex activity and mitochondrial function. We discovered that O2 protects the mitoNEET [2Fe‐2S] cluster against NO oxidation and desensitization towards reduction by H2S.
Thao Nghi Hoang, Meritxell Wu‐Lu, Alberto Collauto, Peter‐Leon Hagedoorn, Madalina Alexandru, Maike Henschel, Shahram Kordasti, Maria Andrea Mroginski, Maxie M. Roessler, Kourosh H. Ebrahimi   +9 more
wiley   +1 more source