High-Temperature Permittivity and Data-Mining of Silicon Dioxide at GHz Band
High-Temperature Permittivity and Data-Mining of Silicon Dioxide at GHz Band
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DOI：
10.1088/0256-307x/29/2/027701
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发表时间：
2012-02
影响因子：
3.5
通讯作者：
Jie Yuan;B. Wen;Z. Hou;Mingming Lu;W. Cao;Chuan Ba;X. Fang;M. Cao
中科院分区：
文献类型：
--
作者：
Jie Yuan;B. Wen;Z. Hou;Mingming Lu;W. Cao;Chuan Ba;X. Fang;M. Cao
基于多尺度理论模型，研究了石英纤维增强二氧化硅（SiO2/SiO2）纳米复合材料的高温介电常数。通过数据挖掘得到了SiO2/SiO2复合材料在高温下的介电常数，该介电常数与温度有关。结果表明，数据挖掘得到的介电常数和损耗角正切与实测值吻合较好。该模型和数据挖掘方法可以很好地预测SiO2/SiO2复合材料的高温介电常数。
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/SiO2 by the as-proposed model and the data-mining method.