scholarly journals High-Performance Coupled Plasmon Waveguide Resonance Optical Sensor based on SiO2:Ag Film

2021 ◽  
pp. 104308
Author(s):  
Xiang-Dong Jiang ◽  
Wen-Rui Xu ◽  
Nasir Ilyas ◽  
Ming-Cheng Li ◽  
Rui-Kang Guo ◽  
...  
Keyword(s):  
Optical Sensor ◽  
High Performance ◽  
Ag Film ◽  
Waveguide Resonance

Significant texture improvement in single-crystalline-like materials on low-cost flexible metal foils through growth of silver thin films

2019 ◽  
Vol 52 (4) ◽  
pp. 898-902 ◽  
Author(s):  
Yongkuan Li ◽  
Sicong Sun ◽  
Ying Gao ◽  
Yao Yao ◽  
Eduard Galstyan ◽  
...  
Keyword(s):  
High Performance ◽  
Low Cost ◽  
Ion Beam ◽  
High Temperature Superconductors ◽  
Single Crystalline ◽  
Metal Foils ◽  
Ion Beam Assisted Deposition ◽  
Out Of Plane ◽  
Flexible Metal ◽  
Ag Film

Low texture spreads of single-crystalline-like materials are critical for high performance of low-cost flexible semiconductors and second-generation high-temperature superconductors based on metal foils. For texture improvement, a single-crystalline-like Ag film is epitaxially grown on an ion-beam-assisted deposition TiN substrate using magnetron sputtering. Ultra-low texture spreads are found in the thin Ag film (∼330 nm), with an out-of-plane texture spread (Δω) of ∼1.03° and an in-plane texture spread (Δϕ) of ∼1.34°. Compared with the texture spreads of the TiN substrate, Δω and Δϕ of the Ag film are reduced by ∼42 and ∼79%, respectively. Applying this Ag buffer, the texture spreads of a single-crystalline-like Ge film are reduced by ∼37% (Δω) and ∼36% (Δϕ). Factors contributing to the texture improvement by Ag are studied using single-crystalline-like Ag films with various thicknesses.

scholarly journals High-Performance Low-Bandgap Polymer Solar Cells With Optical Microcavity Employing Ultrathin Ag Film Electrode

2016 ◽  
Vol 8 (6) ◽  
pp. 1-12 ◽  
Author(s):  
Ning Li ◽  
Dazheng Chen ◽  
Chunfu Zhang ◽  
Jingjing Chang ◽  
Zhenhua Lin ◽  
...  
Keyword(s):  
Solar Cells ◽  
High Performance ◽  
Polymer Solar Cells ◽  
Film Electrode ◽  
Optical Microcavity ◽  
Low Bandgap ◽  
Ag Film

scholarly journals High performance optical sensor based on double compound symmetric gratings

2022 ◽  
Vol 20 (2) ◽  
pp. 021201
Author(s):  
Chaoying Shi ◽  
Xiuhong Liu ◽  
Jinhua Hu ◽  
Haiyan Han ◽  
Jijun Zhao
Keyword(s):  
Optical Sensor ◽  
High Performance

scholarly journals Model of the broadband interferometric optical biosensor in a planar configuration

2020 ◽  
Vol 12 (2) ◽  
pp. 28
Author(s):  
Marek Blahut
Keyword(s):  
Refractive Index ◽  
Optical Sensor ◽  
High Performance ◽  
Low Cost ◽  
Complex Refractive Index ◽  
Broad Band ◽  
Single Mode ◽  
Optical Biosensor ◽  
Multimode Waveguide ◽  
Planar Configuration

The paper presents numerical studies of the model of an optical sensor based on interference of modes in planar one-dimensional step-index configuration, excited by a broadband light source from a selected spectral range. The refractive index variation of measured external surrounding affects the modal properties of multimode waveguide and the spectral field distribution at the output of the structure. The optical system described is designed to the analysis of biological substances. Full Text: PDF ReferencesM. Blahut, "Optical sensor in planar configuration based on multimode interference" Proc. SPIE, 10455, (2017). CrossRef K. Misiakos, et al, "Broad-band Mach-Zehnder interferometers as high performance refractive index sensors: Theory and monolithic implementation", Opt. Express, 22, 8856, (2014). CrossRef K. Gut, "Study of a Broadband Difference Interferometer Based on Low-Cost Polymer Slab Waveguides", Nanomaterials, 9, 729 (2019). CrossRef M. Nordstrom, et al, "Single-Mode Waveguides With SU-8 Polymer Core and Cladding for MOEMS Applications", J. Light. Techn., 25, 1284, (2007). CrossRef D. Segelstein, "The complex refractive index of water", M.S. Thesis, University of Missouri, (1981). DirectLink https://www.yokogawa.com/pl/solutions/products-platforms/ DirectLink

scholarly journals A self-powered, flexible ultra-thin Si/ZnO nanowire photodetector as full-spectrum optical sensor and pyroelectric nanogenerator

2020 ◽  
Vol 11 ◽  
pp. 1623-1630
Author(s):  
Liang Chen ◽  
Jianqi Dong ◽  
Miao He ◽  
Xingfu Wang
Keyword(s):  
Optical Sensor ◽  
High Performance ◽  
Near Infrared ◽  
Low Cost ◽  
Short Circuit ◽  
Fast Response ◽  
Zno Nanowire ◽  
Working Mechanism ◽  
Full Spectrum ◽  
Self Powered

In this work, a new type of self-powered, high-performance ultra-thin p-Si/n-ZnO nanowire (NW) flexible photodetector (PD) and its application as full-spectrum optical sensor and pyroelectric nanogenerator (PENG) are demonstrated. The working mechanism of PDs for PENGs is carefully investigated and systematically analyzed. The self-powered PDs exhibit high responsivity (1200 mA/W), high detectivity (1013 Jones) and fast response (τr = 18 μs, τf = 25 μs) under UV illumination. High and stable short-circuit output currents at each wavelength from ultraviolet (UV) to near-infrared (NIR) demonstrates that the device can realize full-spectrum optical communication. An experiment in which the PENG powers other devices is designed to further demonstrate the proposed working mechanism. This work provides an effective approach to realize self-powered, high-performance PDs for full-spectrum communication. Also, the fabrication of the PENG utilizing a simple and low-cost method shows its potential applications in self-powered flexible electronic devices.

Virtual Sensing in High-Performance Vehicles With Artificial Intelligence

2019 ◽  
Author(s):  
Angelo Bonfitto ◽  
Stefano Feraco ◽  
Nicola Amati ◽  
Andrea Tonoli
Keyword(s):  
Neural Networks ◽  
Optical Sensor ◽  
High Performance ◽  
Mean Value ◽  
Sideslip Angle ◽  
The Road ◽  
Wheel Drive ◽  
Virtual Sensing ◽  
Instrumented Vehicle ◽  
Cascaded Regression

Abstract This paper presents a technique for the estimation of the sideslip angle and longitudinal speed of a high-performance four-wheel drive vehicle by means of Artificial Neural Networks. The proposed architecture relies on the combination of a pattern recognition neural classifier with two stages of cascaded regression neural networks. The classifier allows identifying the road condition and the regression stages perform the two estimation tasks. The networks are trained by means of datasets recorded on an instrumented vehicle. The strategy is tested in different road adherence conditions, namely dry, wet and icy, and in a variety of driving maneuvers. The effectiveness of the technique is demonstrated experimentally by deploying the algorithm on the vehicle and comparing the sideslip angle estimation with the measurement computed by an optical sensor and the longitudinal speed estimation with both the estimation already present on the vehicle and obtained as the mean value of the wheels’ velocity and with the optical sensor measurement.

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