excited resonance
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Author(s):  
Preeti Hemnani ◽  
A. K. Rajarajan ◽  
Gopal Joshi ◽  
S. V. G. Ravindranath

Nuclear Magnetic Resonance (NMR) is a RF technique that is able to detect any compound by sensing the excited resonance signals from atomic nuclei having non-zero spin. NQR is similar to NMR but the only difference is NMR needs a DC magnetic field and due to this its application in the field is limited. A FPGA based NQR spectrometer is designed using a single FPGA chip to perform the digital tasks required for NQR spectrometer. Design of Probe for NMR/NQR spectrometer is researched. Parallel tuned and series tuned Probes are discussed and simulated.14N NQR from NaNO2 is observed from spectrometer designed with parallel tuned probe.


2020 ◽  
Vol 10 (2) ◽  
pp. 561-580
Author(s):  
Thomas Duyckaerts ◽  
Alain Grigis ◽  
André Martinez

Crystals ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 372
Author(s):  
Ibraheem Al-Naib

We present a free-standing terahertz metasurface supercell that consists of four complementary mirrored asymmetric split-rectangular resonators. The quality factor of the excited resonance of this supercell has been significantly improved by 250% when compared to its counterpart nonmirrored supercell. The mirroring of the resonators leads to an enhanced out-of-phase oscillating current in each neighboring resonators of the supercell. In turn, this leads to a suppression of the dipole moments and its corresponding scattered fields. Moreover, this design can be realized by utilizing a simple laser machining technique. Furthermore, we numerically evaluate the performance of this design as a label-free biosensor for thin-film analytes and biomolecules such as double-stranded DNA and single-stranded RNA viruses. A sensitivity level of 1.14 × 105 nm/refractive index unit (RIU) can be achieved using this design. Therefore, this design has the potential to be used as an effective label-free biomedical sensor for in-situ detection of various biomolecules.


2019 ◽  
Vol 68 (16) ◽  
pp. 163101
Author(s):  
Yan Sun ◽  
Feng Hu ◽  
Cui-Cui Sang ◽  
Mao-Fei Mei ◽  
Dong-Dong Liu ◽  
...  

AIAA Journal ◽  
2017 ◽  
Vol 55 (11) ◽  
pp. 3817-3830 ◽  
Author(s):  
Samir Ziada ◽  
Michael Bolduc ◽  
Philippe Lafon

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