Blade design optimisation for the NeoVAD, a tiny Ventricular Assist Device for babies, using Computational Fluid Dynamics based Machine Learning

Lee Nissim; Shweta Karnik; P Alex Smith; Yaxin Wang; Katharine Fraser

Blade design optimisation for the NeoVAD, a tiny Ventricular Assist Device for babies, using Computational Fluid Dynamics based Machine Learning

Lee Nissim, Shweta Karnik, P Alex Smith, Yaxin Wang, Katharine Fraser

Texas Heart Institute

Research output: Contribution to conference › Abstract › peer-review

Original language	English
Publication status	Acceptance date - 17 Mar 2022
Event	9th World Congress of Biomechanics - Taipei, Taipei, Taiwan Duration: 10 Jul 2022 → 14 Jul 2022

Conference

Conference	9th World Congress of Biomechanics
Abbreviated title	WCB 2022
Country/Territory	Taiwan
City	Taipei
Period	10/07/22 → 14/07/22

Cite this

@conference{1a85089f3f1b4eddade1c72a7a77138c,

title = "Blade design optimisation for the NeoVAD, a tiny Ventricular Assist Device for babies, using Computational Fluid Dynamics based Machine Learning",

author = "Lee Nissim and Shweta Karnik and Smith, \{P Alex\} and Yaxin Wang and Katharine Fraser",

year = "2022",

month = mar,

day = "17",

language = "English",

note = "9th World Congress of Biomechanics, WCB 2022 ; Conference date: 10-07-2022 Through 14-07-2022",

}

TY - CONF

T1 - Blade design optimisation for the NeoVAD, a tiny Ventricular Assist Device for babies, using Computational Fluid Dynamics based Machine Learning

AU - Nissim, Lee

AU - Karnik, Shweta

AU - Smith, P Alex

AU - Wang, Yaxin

AU - Fraser, Katharine

PY - 2022/3/17

Y1 - 2022/3/17

M3 - Abstract

T2 - 9th World Congress of Biomechanics

Y2 - 10 July 2022 through 14 July 2022

ER -