Reducing Model-Form Uncertainty in Simulations of Turbulent Flows: From Data Assimilation to Machine Learning

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dc.contributor.authorXiao, Hengen
dc.contributor.departmentAerospace and Ocean Engineeringen
dc.coverage.spatialPittsburgh, USAen
dc.date.accessioned2017-04-08T01:18:33Zen
dc.date.available2017-04-08T01:18:33Zen
dc.date.issued2016-12-07en
dc.description.abstractANASYS Uncertainty Quantification Workshop. (Invited Lecture, 1.5 hours).en
dc.description.notestrue (Invited?)en
dc.description.notesfalse (Extension publication?)en
dc.identifier.orcidXiao, H [0000-0002-3323-4028]en
dc.identifier.urihttp://hdl.handle.net/10919/77383en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleReducing Model-Form Uncertainty in Simulations of Turbulent Flows: From Data Assimilation to Machine Learningen
dc.typePresentationen
dc.type.otherWorkshopen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Aerospace and Ocean Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen

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