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Multiscale Computational Fluid Dynamics [PDF]
Energies, 2019 Computational Fluid Dynamics (CFD) has numerous applications in the field of energy research, in modelling the basic physics of combustion, multiphase flow and heat transfer; and in the simulation of mechanical devices such as turbines, wind wave and ...
Dimitris Drikakis +2 more
doaj +9 more sources
Enhancing Computational Fluid Dynamics with Machine Learning [PDF]
Nature Computational Science, 2021 Machine learning is rapidly becoming a core technology for scientific computing, with numerous opportunities to advance the field of computational fluid dynamics. In this Perspective, we highlight some of the areas of highest potential impact, including to accelerate direct numerical simulations, to improve turbulence closure modeling, and to develop ...
R. Vinuesa, S. Brunton
arxiv +2 more sources
Computational methods for fluid dynamics
, 1996 This text develops and applies the techniques used to solve problems in fluid mechanics on computers and describes in detail those most often used in practice. It includes advanced techniques in computational fluid dynamics, such as direct and large-eddy
Joel H. Ferziger, M. Peric
semanticscholar +2 more sources
Computational Fluid Dynamics and Computational Fluid Dynamics (Vol. 2) [PDF]
Journal of Fluids Engineering, 1981 Wolfgang Kollman, P. T. Harsha
openalex +4 more sources
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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Variational Quantum Algorithms for Computational Fluid Dynamics [PDF]
AIAA Journal, 2022 Quantum computing uses the physical principles of very small systems to develop computing platforms which can solve problems that are intractable on conventional supercomputers.
D. Jaksch, P. Givi, A. Daley, T. Rung
semanticscholar +1 more source
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
Applied Sciences, 2022 Air-blast loading is a serious threat to military and civil vehicles, buildings, containers, and cargo. Applications of sandwich-structured composites have attracted increasing interest in modern lightweight design and in the construction of dynamic ...
Marcel Walkowiak +2 more
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Scientific Reports, 2022 A numerical simulation of sibilant /s/ production with the realistically moving vocal tract was conducted to investigate the flow and acoustic characteristics during the articulation process of velopharyngeal closure and tongue movement. The articulation
HsuehJui Lu +5 more
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Numerical investigation of effects of incisor angle on production of sibilant /s/
Scientific Reports, 2021 The effects of the inclination angle of the incisor on the speech production of the fricative consonant /s/ was investigated using an implicit compressible flow solver.
HsuehJui Lu +5 more
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