Substrate‐Modulated Electromagnetic Resonances in Colloidal Cu 2 O Nanospheres

2020 ◽  
Vol 37 (6) ◽  
pp. 2000106
Author(s):  
Nannan Li ◽  
Hao Wang ◽  
Yunhe Lai ◽  
Huanjun Chen ◽  
Jianfang Wang
1995 ◽  
Vol 52 (1) ◽  
pp. 93-96 ◽  
Author(s):  
T. Doderer ◽  
Y. M. Zhang ◽  
D. Winkler ◽  
R. Gross

2009 ◽  
Vol 26 (4) ◽  
pp. 734 ◽  
Author(s):  
M. R. Gadsdon ◽  
J. Parsons ◽  
J. R. Sambles

1987 ◽  
Author(s):  
R. Reinisch ◽  
M. Neviere ◽  
H. Akhouayria ◽  
J-L. Coutaz ◽  
D. Maystre

2013 ◽  
Vol 88 (4) ◽  
Author(s):  
Alexandros P. Kouretsis ◽  
Christos G. Tsagas

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ronny Peter ◽  
Luca Bifano ◽  
Gerhard Fischerauer

Abstract The quantitative determination of material parameter distributions in resonant cavities is a relatively new method for the real-time monitoring of chemical processes. For this purpose, electromagnetic resonances of the cavity resonator are used as input data for the reverse calculation (inversion). However, the reverse calculation algorithm is sensitive to disturbances of the input data, which produces measurement errors and tends to diverge, which leads to no measurement result at all. In this work a correction algorithm based on the Monte Carlo method is presented which ensures a convergent behavior of the reverse calculation algorithm.


Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 204 ◽  
Author(s):  
Samantha I. Davis ◽  
John R. Kirtley ◽  
Kathryn A. Moler

Scanning Superconducting Quantum Interference Device (SQUID) Susceptometry simultaneously images the local magnetic fields and susceptibilities above a sample with sub-micron spatial resolution. Further development of this technique requires a thorough understanding of the current, voltage, and flux ( I V Φ ) characteristics of scanning SQUID susceptometers. These sensors often have striking anomalies in their current–voltage characteristics, which we believe to be due to electromagnetic resonances. The effect of these resonances on the performance of these SQUIDs is unknown. To explore the origin and impact of the resonances, we develop a model that qualitatively reproduces the experimentally-determined I V Φ characteristics of our scanning SQUID susceptometers. We use this model to calculate the noise characteristics of SQUIDs of different designs. We find that the calculated ultimate flux noise is better in susceptometers with damping resistors that diminish the resonances than in susceptometers without damping resistors. Such calculations will enable the optimization of the signal-to-noise characteristics of scanning SQUID susceptometers.


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