An Artificial Intelligence Approach for Modeling and Prediction of Water Diffusion Inside a Carbon Nanotube

<p>Abstract</p> <p>Modeling of water flow in carbon nanotubes is still a challenge for the classic models of fluid dynamics. In this investigation, an adaptive-network-based fuzzy inference system (ANFIS) is presented to solve this problem. The proposed ANFIS approach can construct...

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Main Authors: Ahadian Samad, Kawazoe Yoshiyuki
Format: Article
Language:English
Published: SpringerOpen 2009-01-01
Series:Nanoscale Research Letters
Subjects:
Online Access:http://dx.doi.org/10.1007/s11671-009-9361-3
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spelling doaj-6efe26bbf20c4264988065a62b22c3b62020-11-24T21:19:54ZengSpringerOpenNanoscale Research Letters1931-75731556-276X2009-01-014910541058An Artificial Intelligence Approach for Modeling and Prediction of Water Diffusion Inside a Carbon NanotubeAhadian SamadKawazoe Yoshiyuki<p>Abstract</p> <p>Modeling of water flow in carbon nanotubes is still a challenge for the classic models of fluid dynamics. In this investigation, an adaptive-network-based fuzzy inference system (ANFIS) is presented to solve this problem. The proposed ANFIS approach can construct an input&#8211;output mapping based on both human knowledge in the form of fuzzy if-then rules and stipulated input&#8211;output data pairs. Good performance of the designed ANFIS ensures its capability as a promising tool for modeling and prediction of fluid flow at nanoscale where the continuum models of fluid dynamics tend to break down.</p> http://dx.doi.org/10.1007/s11671-009-9361-3Carbon nanotubeWater diffusionArtificial intelligenceModeling and prediction
collection DOAJ
language English
format Article
sources DOAJ
author Ahadian Samad
Kawazoe Yoshiyuki
spellingShingle Ahadian Samad
Kawazoe Yoshiyuki
An Artificial Intelligence Approach for Modeling and Prediction of Water Diffusion Inside a Carbon Nanotube
Nanoscale Research Letters
Carbon nanotube
Water diffusion
Artificial intelligence
Modeling and prediction
author_facet Ahadian Samad
Kawazoe Yoshiyuki
author_sort Ahadian Samad
title An Artificial Intelligence Approach for Modeling and Prediction of Water Diffusion Inside a Carbon Nanotube
title_short An Artificial Intelligence Approach for Modeling and Prediction of Water Diffusion Inside a Carbon Nanotube
title_full An Artificial Intelligence Approach for Modeling and Prediction of Water Diffusion Inside a Carbon Nanotube
title_fullStr An Artificial Intelligence Approach for Modeling and Prediction of Water Diffusion Inside a Carbon Nanotube
title_full_unstemmed An Artificial Intelligence Approach for Modeling and Prediction of Water Diffusion Inside a Carbon Nanotube
title_sort artificial intelligence approach for modeling and prediction of water diffusion inside a carbon nanotube
publisher SpringerOpen
series Nanoscale Research Letters
issn 1931-7573
1556-276X
publishDate 2009-01-01
description <p>Abstract</p> <p>Modeling of water flow in carbon nanotubes is still a challenge for the classic models of fluid dynamics. In this investigation, an adaptive-network-based fuzzy inference system (ANFIS) is presented to solve this problem. The proposed ANFIS approach can construct an input&#8211;output mapping based on both human knowledge in the form of fuzzy if-then rules and stipulated input&#8211;output data pairs. Good performance of the designed ANFIS ensures its capability as a promising tool for modeling and prediction of fluid flow at nanoscale where the continuum models of fluid dynamics tend to break down.</p>
topic Carbon nanotube
Water diffusion
Artificial intelligence
Modeling and prediction
url http://dx.doi.org/10.1007/s11671-009-9361-3
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