Results 1 to 10 of about 5,966,776 (338)
Machine learning–accelerated computational fluid dynamics [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2021 Significance Accurate simulation of fluids is important for many science and engineering problems but is very computationally demanding. In contrast, machine-learning models can approximate physics very quickly but at the cost of accuracy.
Dmitrii Kochkov +5 more
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Potential quantum advantage for simulation of fluid dynamics [PDF]
Physical Review Research, 2023 Numerical simulation of turbulent fluid dynamics needs to either parametrize turbulence—which introduces large uncertainties—or explicitly resolve the smallest scales—which is prohibitively expensive. Here, we provide evidence through analytic bounds and
Xiangyu Li +6 more
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Theories of Relativistic Dissipative Fluid Dynamics [PDF]
Entropy, 2023 Relativistic dissipative fluid dynamics finds widespread applications in high-energy nuclear physics and astrophysics. However, formulating a causal and stable theory of relativistic dissipative fluid dynamics is far from trivial; efforts to accomplish ...
G. Rocha +4 more
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Introduction to Computational Fluid Dynamics
essentials, 2023 A projected frontal area or planform area of an object b span or depth of a flat plate (into the page when viewed from the edge) CD drag coefficient: CD = 2FD /VA D height (2-dimensional) or diameter (axisymmetric) of a block or other object in the flow
Karim Ghaib
semanticscholar +1 more source
DualSPHysics: from fluid dynamics to multiphysics problems [PDF]
Computational Particle Mechanics, 2021 DualSPHysics is a weakly compressible smoothed particle hydrodynamics (SPH) Navier–Stokes solver initially conceived to deal with coastal engineering problems, especially those related to wave impact with coastal structures.
J. Dominguez +12 more
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Communications Earth & Environment, 2022 Warming of the subsurface Southern Ocean played only a minor role in shrinking Antarctic Sea ice extent in 2016, but was critical for the persistence of negative anomalies between 2016 and 2021, according to coupled climate model simulations partially ...
Liping Zhang +6 more
doaj +1 more source
Fluid dynamics of dilatant fluids [PDF]
Physical Review E, 2012 Dense mixture of granules and liquid often shows a sever shear thickening and is called a dilatant fluid. We construct a fluid dynamics model for the dilatant fluid by introducing a phenomenological state variable for a local state of dispersed particles.
Nakanishi, Hiizu +2 more
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Cerebrospinal fluid dynamics [PDF]
Croatian Medical Journal, 2021 The classical cerebrospinal fluid (CSF) circulation theory has been accepted as an established theory of CSF physiology. It describes bulk CSF flow from production site to absorption site. However, much controversy remains regarding the basic CSF physiology and the mechanisms behind the development of hydrocephalus.
openaire +3 more sources
Current and emerging deep-learning methods for the simulation of fluid dynamics
Proceedings of the Royal Society A, 2023 Over the last decade, deep learning (DL), a branch of machine learning, has experienced rapid progress. Powerful tools for tasks that have been traditionally complex to automate have been developed, such as image synthesis and natural language processing.
Mario Lino +3 more
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