不完全接触下MWCNT互连网络不确定性量化的多保真多项式混沌方法

Surila Guglani, K. Dimple, B. Kaushik, Sourajeet Roy, Rohit Sharma
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引用次数: 2

摘要

本文提出了一种基于多保真度算法概念的多项式混沌(PC)方法,用于不完全接触的多壁碳纳米管(MWCNT)互连网络的不确定性量化。该方法的显著特点是开发了一种新的低保真模型,其中每个MWCNT导体根据构成该导体的每个外壳的接触电阻的性质表示为多个寄生耦合等效导体。这种提出的低保真度模型比现有的低保真度模型更准确,从而导致比以前可能更快地构建PC元模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multi-Fidelity Polynomial Chaos Approach for Uncertainty Quantification of MWCNT Interconnect Networks in the Presence of Imperfect Contacts
In this paper, a polynomial chaos (PC) approach based on the concept of multi-fidelity algorithms is presented for uncertainty quantification of multi-walled carbon nanotube (MWCNT) interconnect networks exhibiting imperfect contacts. The salient feature of the proposed approach is the development of a new low-fidelity model where each MWCNT conductor is represented as multiple parasitically coupled equivalent conductors depending on the nature of the contact resistance of each shell making up that conductor. This proposed low-fidelity model is provably more accurate than existing low-fidelity models, thereby leading to even faster construction of PC metamodels than previously possible.
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