Dynamic tuning of Fano-coupled metasurfaces

Author(s):  
Benjamin W. Cerjan ◽  
Burak Gerislioglu ◽  
Sravya Nuguri ◽  
James J. Watkins ◽  
Stephan Link ◽  
...  
Keyword(s):  
2020 ◽  
Vol 2 (3) ◽  
Author(s):  
JungHyun Noh ◽  
Yiwei Wang ◽  
Hsin-Ling Liang ◽  
Venkata Subba Rao Jampani ◽  
Apala Majumdar ◽  
...  

2021 ◽  
Author(s):  
Amit Bhardwaj ◽  
Vimala Sridurai ◽  
Sachin A. Bhat ◽  
Channabasaveshwar V. Yelamaggad ◽  
Geetha G. Nair

A room temperature stable self-assembled liquid crystal metamaterial exhibits dynamic tuning of the epsilon-near-zero (ENZ) bandwidth on illumination with actinic light in the optical regime.


2015 ◽  
Vol 137 (12) ◽  
pp. 4030-4033 ◽  
Author(s):  
Suchetan Pal ◽  
Yugang Zhang ◽  
Sanat K Kumar ◽  
Oleg Gang

2014 ◽  
Vol 511-512 ◽  
pp. 173-177 ◽  
Author(s):  
Rong Jun Lu ◽  
De Ming Shen ◽  
Qian Qian Du ◽  
Bao Zhen Huang ◽  
Jian Shu Shi

Static and dynamic tuning characteristics of Distribute Feedback (DFB) diode lasers are investigated with practical laser devices. These characteristics are the basic guidelines for practical TDLAS sensors design. Static tuning characteristics help to select suitable diode lasers from limited available laser devices with specific wavelength and to set an appropriate working current and temperature. Dynamic tuning characteristics decide the sweep speed of current slope in both direct absorb Spectroscopy (DAS) and wavelength modulation Spectroscopy (WMS). Because of nonlinearity in the relation between wavelength and tuning current, the measured spectral line position should be corrected by the dynamic characteristics. For WMS, current tuning efficient and IM/AM (Intense modulation/Amplitude modulation) differential phase could be utilized to optimize laser modulation and harmonic components demodulation.


2016 ◽  
Vol 4 (43) ◽  
pp. 10279-10285 ◽  
Author(s):  
Qiwu Shi ◽  
Guoqing Chai ◽  
Wanxia Huang ◽  
Yanli Shi ◽  
Bo Huang ◽  
...  

Nanocrystalline λ-Ti3O5was fabricated by carbothermal reduction of nano-TiO2. It exhibits a continuous and slow phase transition across a wide range of temperatures, which can lead to dynamic tuning of THz transmission.


Nanophotonics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 2351-2359
Author(s):  
Hao Ouyang ◽  
Haitao Chen ◽  
Yuxiang Tang ◽  
Jun Zhang ◽  
Chenxi Zhang ◽  
...  

AbstractStrong quantum confinement and coulomb interactions induce tightly bound quasiparticles such as excitons and trions in an atomically thin layer of transitional metal dichalcogenides (TMDs), which play a dominant role in determining their intriguing optoelectronic properties. Thus, controlling the excitonic properties is essential for the applications of TMD-based devices. Here, we demonstrate the all-optical tuning of the local excitonic emission from a monolayer MoS2 hybridized with phase-change material Ge2Sb2Te5 (GST) thin film. By applying pulsed laser with different power on the MoS2/GST heterostructure, the peak energies of the excitonic emission of MoS2 can be tuned up to 40 meV, and the exciton/trion intensity ratio can be tuned by at least one order of magnitude. Raman spectra and transient pump-probe measurements show that the tunability originated from the laser-induced phase change of the GST thin film with charge transferring from GST to the monolayer MoS2. The dynamic tuning of the excitonic emission was all done with localized laser pulses and could be scaled readily, which pave a new way of controlling the excitonic emission in TMDs. Our findings could be potentially used as all-optical modulators or switches in future optical networks.


2011 ◽  
Vol 106 (2) ◽  
pp. 764-774 ◽  
Author(s):  
Ian H. Stevenson ◽  
Anil Cherian ◽  
Brian M. London ◽  
Nicholas A. Sachs ◽  
Eric Lindberg ◽  
...  

In systems neuroscience, neural activity that represents movements or sensory stimuli is often characterized by spatial tuning curves that may change in response to training, attention, altered mechanics, or the passage of time. A vital step in determining whether tuning curves change is accounting for estimation uncertainty due to measurement noise. In this study, we address the issue of tuning curve stability using methods that take uncertainty directly into account. We analyze data recorded from neurons in primary motor cortex using chronically implanted, multielectrode arrays in four monkeys performing center-out reaching. With the use of simulations, we demonstrate that under typical experimental conditions, the effect of neuronal noise on estimated preferred direction can be quite large and is affected by both the amount of data and the modulation depth of the neurons. In experimental data, we find that after taking uncertainty into account using bootstrapping techniques, the majority of neurons appears to be very stable on a timescale of minutes to hours. Lastly, we introduce adaptive filtering methods to explicitly model dynamic tuning curves. In contrast to several previous findings suggesting that tuning curves may be in constant flux, we conclude that the neural representation of limb movement is, on average, quite stable and that impressions to the contrary may be largely the result of measurement noise.


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