TiO2 Interface Instead of SiO2 in Terms of Dielectric Coefficient

Author(s):  
Ahmet Kürşat Bilgili ◽  
Mustafa Kemal Öztürk ◽  
Süleyman Özçelik ◽  
Metin Özer
IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Junqing Lan ◽  
Xiaofeng Sun ◽  
Huacheng Zhu ◽  
Xiaoren Cao ◽  
Lan Yang ◽  
...  

2013 ◽  
Vol 123 (2) ◽  
pp. 464-466 ◽  
Author(s):  
A. Sayinti ◽  
E. Açikalin ◽  
K. Çoban ◽  
A. Vertii

1934 ◽  
Vol 46 (1) ◽  
pp. 66-72 ◽  
Author(s):  
A. R. Jordan ◽  
James W. Broxon ◽  
Frank C. Walz

2004 ◽  
Author(s):  
Sari Penttinen ◽  
Leena Finér ◽  
Pekka Hänninen ◽  
Hannu Mannerkoski ◽  
Harri Koivusalo ◽  
...  

Cryogenics ◽  
2007 ◽  
Vol 47 (4) ◽  
pp. 252-256 ◽  
Author(s):  
T. Charignon ◽  
D. Celik ◽  
A. Hemmati ◽  
S.W. Van Sciver

2013 ◽  
Vol 438-439 ◽  
pp. 430-435
Author(s):  
Xiang Hua Tao ◽  
Jing Qing Huang ◽  
Ying Chun Cai

The key of ground penetrating radars application lies in the calculation of dielectric coefficient. The pavement materials are inhomogeneous medium in fact, the particle surface can induce the scatter and diffraction of electromagnetic wave. The inhomogeneous dielectricity can change the characteristics of reflected wave. It may even cause background noise of reflected signal, which will lead to mistakes in signal interpretation. Therefore it is necessary to analyze the inhomogeneous dielectric coefficients by GPR. This paper proposes the solutions of inverse analysis for inhomogeneous dielectric coefficients of pavement materials used GPR data. Two examples are given to assess the validity of genetic algorithms in inversion of pavement materials inhomogeneous dielectricity. The results show that genetic algorithm can converge into true solutions well. The backcalculated inhomogeneous dielectric coefficients can help to evaluate pavement properties further.


2004 ◽  
Author(s):  
Sari Penttinen ◽  
Leena Finér ◽  
Pekka Hänninen ◽  
Hannu Mannerkoski ◽  
Harri Koivusalo ◽  
...  

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