Stochastic investigation of graphene structures with efficient polynomial models
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Theodoros Zygiridis [1] ; Stamatis A. Amanatiadis [2] ; Theodosios Karamanos [2] ; Nikolaos V. Kantartzis [2]
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[1] University of Western Macedonia
University of Western Macedonia
Dimos Kozani, Grecia
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[2] Aristotle University of Thessaloniki
Aristotle University of Thessaloniki
Dimos Thessaloniki, Grecia
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- Localización: Compel: International journal for computation and mathematics in electrical and electronic engineering, ISSN 0332-1649, Vol. 39, Nº 3, 2020, págs. 76-87
- Idioma: inglés
- Enlaces
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Resumen
The extraordinary properties of graphene render it ideal for diverse contemporary and future applications. Aiming at the investigation of certain aspects commonly overlooked in pertinent works, the authors study wave-propagation phenomena supported by graphene layers within a stochastic framework, i.e. when uncertainty in various factors affects the graphene’s surface conductivity. Given that the consideration of an increasing number of graphene sheets may increase the stochastic dimensionality of the corresponding problem, efficient surrogates with reasonable computational cost need to be developed
