Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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This paper addressed that graphene is a regular monolayer of carbon atoms settled in a 2D-hexagonal lattice; which is listed among the strongest material ever measured with strength exceeding more than hundred times of steel. However, the strength of graphene is critically influenced by temperature, geometric & vacancy defects (VD). Defects are at all believed to worsen the mechanical toughness and reduce the strength of graphene sheet. They are revealed that stiffness and strength are the key factors in determining solidity and life span of any technological devices. Molecular dynamics-based atomistic modeling was performed to predict and quantify the effect of non-bonded interactions on the failure morphology of vacancy affected sheets of graphene. The defective sheet of graphene containing vacancy defect was simulated in conjunction with the non-bonded interactions experienced due to the presence of a pristine sheet of graphene.
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Muse Degefe Chewaka Liban. 2019. \u201cInfluence of Temperature with its Geometric and Failure Morphology Defects on the Mechanical Properties of Graphene: Molecular Dynamics Simulation (MDs)\u201d. Global Journal of Research in Engineering - A : Mechanical & Mechanics GJRE-A Volume 19 (GJRE Volume 19 Issue A3): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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The methods for personal identification and authentication are no exception.
Total Score: 102
Country: India
Subject: Global Journal of Research in Engineering - A : Mechanical & Mechanics
Authors: Muse Degefe Chewaka Liban, Prabhu Paramasivam (PhD/Dr. count: 0)
View Count (all-time): 211
Total Views (Real + Logic): 2673
Total Downloads (simulated): 1386
Publish Date: 2019 09, Wed
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Neural Networks and Rules-based Systems used to Find Rational and
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