High-temperature permittivity and data-mining of silicon dioxide at GHz band

Jie Yuan; Bo Wen; Zhi Ling Hou; Ming Ming Lu; Wen Qiang Cao; Chuan Ba; Xiao Yong Fang; Mao Sheng Cao

doi:10.1088/0256-307X/29/2/027701

High-temperature permittivity and data-mining of silicon dioxide at GHz band

Jie Yuan, Bo Wen, Zhi Ling Hou, Ming Ming Lu, Wen Qiang Cao, Chuan Ba, Xiao Yong Fang, Mao Sheng Cao^*

^*Corresponding author for this work

School of Material Science and Engineering

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

The high-temperature permittivity of quartz fibre-reinforced silicon dioxide (SiO₂/SiO₂) nano-composites is studied on the basis of the multi-scale theoretical model. We obtain the permittivity of the SiO₂/SiO₂ at high temperature, which is dependent on the temperature by data-mining. The result shows that the permittivity and loss tangent obtained by data-mining are well consistent with the measured ones. The high-temperature permittivity can be well predicted for SiO₂/SiO ₂ by the as-proposed model and the data-mining method.

Original language	English
Article number	027701
Journal	Chinese Physics Letters
Volume	29
Issue number	2
DOIs	https://doi.org/10.1088/0256-307X/29/2/027701
Publication status	Published - Feb 2012

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title = "High-temperature permittivity and data-mining of silicon dioxide at GHz band",

abstract = "The high-temperature permittivity of quartz fibre-reinforced silicon dioxide (SiO2/SiO2) nano-composites is studied on the basis of the multi-scale theoretical model. We obtain the permittivity of the SiO2/SiO2 at high temperature, which is dependent on the temperature by data-mining. The result shows that the permittivity and loss tangent obtained by data-mining are well consistent with the measured ones. The high-temperature permittivity can be well predicted for SiO2/SiO 2 by the as-proposed model and the data-mining method.",

author = "Jie Yuan and Bo Wen and Hou, {Zhi Ling} and Lu, {Ming Ming} and Cao, {Wen Qiang} and Chuan Ba and Fang, {Xiao Yong} and Cao, {Mao Sheng}",

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doi = "10.1088/0256-307X/29/2/027701",

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T1 - High-temperature permittivity and data-mining of silicon dioxide at GHz band

AU - Yuan, Jie

AU - Wen, Bo

AU - Hou, Zhi Ling

AU - Lu, Ming Ming

AU - Cao, Wen Qiang

AU - Ba, Chuan

AU - Fang, Xiao Yong

AU - Cao, Mao Sheng

PY - 2012/2

Y1 - 2012/2

N2 - The high-temperature permittivity of quartz fibre-reinforced silicon dioxide (SiO2/SiO2) nano-composites is studied on the basis of the multi-scale theoretical model. We obtain the permittivity of the SiO2/SiO2 at high temperature, which is dependent on the temperature by data-mining. The result shows that the permittivity and loss tangent obtained by data-mining are well consistent with the measured ones. The high-temperature permittivity can be well predicted for SiO2/SiO 2 by the as-proposed model and the data-mining method.

AB - The high-temperature permittivity of quartz fibre-reinforced silicon dioxide (SiO2/SiO2) nano-composites is studied on the basis of the multi-scale theoretical model. We obtain the permittivity of the SiO2/SiO2 at high temperature, which is dependent on the temperature by data-mining. The result shows that the permittivity and loss tangent obtained by data-mining are well consistent with the measured ones. The high-temperature permittivity can be well predicted for SiO2/SiO 2 by the as-proposed model and the data-mining method.

UR - http://www.scopus.com/inward/record.url?scp=84857334827&partnerID=8YFLogxK

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DO - 10.1088/0256-307X/29/2/027701

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SN - 0256-307X

VL - 29

JO - Chinese Physics Letters

JF - Chinese Physics Letters

IS - 2

M1 - 027701

ER -

High-temperature permittivity and data-mining of silicon dioxide at GHz band

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