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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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https://doi.org/10.5281/zenodo...
Dataset . 2020
License: CC BY
Data sources: Sygma
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Claim

Experimental and Simulation Results of "3D Printed Biomodels for Flow Visualization in Stenotic Vessels: An Experimental and Numerical Study" - version 2

Research datakeyboard_double_arrow_right Dataset 29 May 2020 English Publisher:ZenodoFunded by:EC | 3DPRINT-VASCU-CHIP
Authors: Carvalho, Violeta; Rodrigues, Nelson; Ribeiro, Ricardo; Costa, Pedro; Lima, Rui; Teixeira, Senhorinha;

doi: 10.5281/zenodo.3871437 , 10.5281/zenodo.3874386

Experimental and Simulation Results of "3D Printed Biomodels for Flow Visualization in Stenotic Vessels: An Experimental and Numerical Study" - version 2

Abstract

This work was supported by FCT—Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020, UIDB/04077/2020, and NORTE-01-0145-FEDER-030171, funded by COMPETE2020, NORTE 2020, PORTUGAL 2020, and FEDER. This project received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 798014. This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 828835.

This repository contains the experimental and simulation results of the article "3D Printed Biomodels for Flow Visualization in Stenotic Vessels: An Experimental and Numerical Study" by Carvalho, V., Rodrigues, N., Ribeiro, R., Costa, P., Lima, R., Teixeira, S., published in Micromachines 11, 6 (2020). https://doi.org/10.3390/mi11060549

Related Organizations
Keywords

blood flow, 3D printing, blood analogues, atherosclerosis, CFD, hemodynamics, in vitro biomodels, stereolithography

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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