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Average output polarization dataset for signifying the temperature influence for QCA designed reversible logic circuits

Quantum-dot cellular automata (QCA) as nanotechnology is a pledging contestant that has incredible prospective to substitute complementary metal–oxide–semiconductor (CMOS) because of its superior structures such as intensely high device thickness, minimal power depletion with rapid operation momentu...

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Detalles Bibliográficos
Autores principales: Abdullah-Al-Shafi, Md., Bahar, Ali Newaz, Bhuiyan, Mohammad Maksudur Rahman, Shamim, S.M., Ahmed, Kawser
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5993001/
https://www.ncbi.nlm.nih.gov/pubmed/29892614
http://dx.doi.org/10.1016/j.dib.2018.05.009
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author Abdullah-Al-Shafi, Md.
Bahar, Ali Newaz
Bhuiyan, Mohammad Maksudur Rahman
Shamim, S.M.
Ahmed, Kawser
author_facet Abdullah-Al-Shafi, Md.
Bahar, Ali Newaz
Bhuiyan, Mohammad Maksudur Rahman
Shamim, S.M.
Ahmed, Kawser
author_sort Abdullah-Al-Shafi, Md.
collection PubMed
description Quantum-dot cellular automata (QCA) as nanotechnology is a pledging contestant that has incredible prospective to substitute complementary metal–oxide–semiconductor (CMOS) because of its superior structures such as intensely high device thickness, minimal power depletion with rapid operation momentum. In this study, the dataset of average output polarization (AOP) for fundamental reversible logic circuits is organized as presented in (Abdullah-Al-Shafi and Bahar, 2017; Bahar et al., 2016; Abdullah-Al-Shafi et al., 2015; Abdullah-Al-Shafi, 2016) [1–4]. QCADesigner version 2.0.3 has been utilized to survey the AOP of reversible circuits at separate temperature point in Kelvin (K) unit.
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spelling pubmed-59930012018-06-11 Average output polarization dataset for signifying the temperature influence for QCA designed reversible logic circuits Abdullah-Al-Shafi, Md. Bahar, Ali Newaz Bhuiyan, Mohammad Maksudur Rahman Shamim, S.M. Ahmed, Kawser Data Brief Materials Science Quantum-dot cellular automata (QCA) as nanotechnology is a pledging contestant that has incredible prospective to substitute complementary metal–oxide–semiconductor (CMOS) because of its superior structures such as intensely high device thickness, minimal power depletion with rapid operation momentum. In this study, the dataset of average output polarization (AOP) for fundamental reversible logic circuits is organized as presented in (Abdullah-Al-Shafi and Bahar, 2017; Bahar et al., 2016; Abdullah-Al-Shafi et al., 2015; Abdullah-Al-Shafi, 2016) [1–4]. QCADesigner version 2.0.3 has been utilized to survey the AOP of reversible circuits at separate temperature point in Kelvin (K) unit. Elsevier 2018-05-09 /pmc/articles/PMC5993001/ /pubmed/29892614 http://dx.doi.org/10.1016/j.dib.2018.05.009 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Materials Science
Abdullah-Al-Shafi, Md.
Bahar, Ali Newaz
Bhuiyan, Mohammad Maksudur Rahman
Shamim, S.M.
Ahmed, Kawser
Average output polarization dataset for signifying the temperature influence for QCA designed reversible logic circuits
title Average output polarization dataset for signifying the temperature influence for QCA designed reversible logic circuits
title_full Average output polarization dataset for signifying the temperature influence for QCA designed reversible logic circuits
title_fullStr Average output polarization dataset for signifying the temperature influence for QCA designed reversible logic circuits
title_full_unstemmed Average output polarization dataset for signifying the temperature influence for QCA designed reversible logic circuits
title_short Average output polarization dataset for signifying the temperature influence for QCA designed reversible logic circuits
title_sort average output polarization dataset for signifying the temperature influence for qca designed reversible logic circuits
topic Materials Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5993001/
https://www.ncbi.nlm.nih.gov/pubmed/29892614
http://dx.doi.org/10.1016/j.dib.2018.05.009
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