Turbulent flow physics and control: The role of big data analyses tools

Andrew S. Magstadt; Pinqing Kan; Zachary P. Berger; Christopher J. Ruscher; Matthew G. Berry; Melissa A. Green; Jacques Lewalle; Mark N. Glauser

doi:10.1007/978-3-319-41217-7_16

Turbulent flow physics and control: The role of big data analyses tools

Andrew S. Magstadt
, Pinqing Kan
, Zachary P. Berger
, Christopher J. Ruscher
, Matthew G. Berry
, Melissa A. Green
, Jacques Lewalle
, Mark N. Glauser

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English (US)
Title of host publication	Whither Turbulence and Big Data in the 21st Century?
Publisher	Springer International Publishing
Pages	295-322
Number of pages	28
ISBN (Electronic)	9783319412177
ISBN (Print)	9783319412153
DOIs	https://doi.org/10.1007/978-3-319-41217-7_16
State	Published - Aug 30 2016
Externally published	Yes

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10.1007/978-3-319-41217-7_16

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title = "Turbulent flow physics and control: The role of big data analyses tools",

author = "Magstadt, \{Andrew S.\} and Pinqing Kan and Berger, \{Zachary P.\} and Ruscher, \{Christopher J.\} and Berry, \{Matthew G.\} and Green, \{Melissa A.\} and Jacques Lewalle and Glauser, \{Mark N.\}",

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T2 - The role of big data analyses tools

AU - Magstadt, Andrew S.

AU - Kan, Pinqing

AU - Berger, Zachary P.

AU - Ruscher, Christopher J.

AU - Berry, Matthew G.

AU - Green, Melissa A.

AU - Lewalle, Jacques

AU - Glauser, Mark N.

PY - 2016/8/30

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AN - SCOPUS:85013154661

SN - 9783319412153

SP - 295

EP - 322

BT - Whither Turbulence and Big Data in the 21st Century?

PB - Springer International Publishing

ER -

Turbulent flow physics and control: The role of big data analyses tools

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