Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow

Abstract Estimation of the effectiveness of Au nanoparticles concentration in peristaltic flow through a curved channel by using a data driven stochastic numerical paradigm based on artificial neural network is presented in this study. In the modelling, nano composite is considered involving multi-w...

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Autores principales:	Muhammad Asif Zahoor Raja, Mohammad Sabati, Nabeela Parveen, Muhammad Awais, Saeed Ehsan Awan, Naveed Ishtiaq Chaudhary, Muhammad Shoaib, Hani Alquhayz
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b1166e5ee1a14025916323e34bdc4868
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spelling	oai:doaj.org-article:b1166e5ee1a14025916323e34bdc48682021-11-21T12:25:15ZIntegrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow10.1038/s41598-021-98490-y2045-2322https://doaj.org/article/b1166e5ee1a14025916323e34bdc48682021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98490-yhttps://doaj.org/toc/2045-2322Abstract Estimation of the effectiveness of Au nanoparticles concentration in peristaltic flow through a curved channel by using a data driven stochastic numerical paradigm based on artificial neural network is presented in this study. In the modelling, nano composite is considered involving multi-walled carbon nanotubes coated with gold nanoparticles with different slip conditions. Modeled differential system of the physical problem is numerically analyzed for different scenarios to predict numerical data for velocity and temperature by Adams Bashforth method and these solutions are used as a reference dataset of the networks. Data is processed by segmentation into three categories i.e., training, validation and testing while Levenberg–Marquart training algorithm is adopted for optimization of networks results in terms of performance on mean square errors, train state plots, error histograms, regression analysis, time series responses, and auto-correlation, which establish the accurate and efficient recognition of trends of the system.Muhammad Asif Zahoor RajaMohammad SabatiNabeela ParveenMuhammad AwaisSaeed Ehsan AwanNaveed Ishtiaq ChaudharyMuhammad ShoaibHani AlquhayzNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-20 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Muhammad Asif Zahoor Raja Mohammad Sabati Nabeela Parveen Muhammad Awais Saeed Ehsan Awan Naveed Ishtiaq Chaudhary Muhammad Shoaib Hani Alquhayz Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow
description	Abstract Estimation of the effectiveness of Au nanoparticles concentration in peristaltic flow through a curved channel by using a data driven stochastic numerical paradigm based on artificial neural network is presented in this study. In the modelling, nano composite is considered involving multi-walled carbon nanotubes coated with gold nanoparticles with different slip conditions. Modeled differential system of the physical problem is numerically analyzed for different scenarios to predict numerical data for velocity and temperature by Adams Bashforth method and these solutions are used as a reference dataset of the networks. Data is processed by segmentation into three categories i.e., training, validation and testing while Levenberg–Marquart training algorithm is adopted for optimization of networks results in terms of performance on mean square errors, train state plots, error histograms, regression analysis, time series responses, and auto-correlation, which establish the accurate and efficient recognition of trends of the system.
format	article
author	Muhammad Asif Zahoor Raja Mohammad Sabati Nabeela Parveen Muhammad Awais Saeed Ehsan Awan Naveed Ishtiaq Chaudhary Muhammad Shoaib Hani Alquhayz
author_facet	Muhammad Asif Zahoor Raja Mohammad Sabati Nabeela Parveen Muhammad Awais Saeed Ehsan Awan Naveed Ishtiaq Chaudhary Muhammad Shoaib Hani Alquhayz
author_sort	Muhammad Asif Zahoor Raja
title	Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow
title_short	Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow
title_full	Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow
title_fullStr	Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow
title_full_unstemmed	Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow
title_sort	integrated intelligent computing application for effectiveness of au nanoparticles coated over mwcnts with velocity slip in curved channel peristaltic flow
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/b1166e5ee1a14025916323e34bdc4868
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Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow

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