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Data analysis for direct numerical simulations of turbulent combustion: from equation-based analysis to machine learning
This book presents methodologies for analysing large data sets produced by the direct numerical simulation (DNS) of turbulence and combustion. It describes the development of models that can be used to analyse large eddy simulations, and highlights both the most common techniques and newly emerging...
| Autores principales: | , |
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| Lenguaje: | eng |
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Springer
2020
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-44718-2 http://cds.cern.ch/record/2720417 |