Optoelectronic Materials, Devices, and Applications

In total, ten papers are included in this reprint. New advances in optoelectronic materials have been reported for crystals, electrodes, and bonding materials. Zakrzewski et al. analyzed photothermal piezoelectric spectroscopy of Cd1−xBexTe, showing potential in X-ray and γ-ray detectors. Han et al....

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Bibliographic Details
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
AFM
n/a
Online Access:Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication
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720 1 |a Mei, Yunhui  |4 edt 
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520 |a In total, ten papers are included in this reprint. New advances in optoelectronic materials have been reported for crystals, electrodes, and bonding materials. Zakrzewski et al. analyzed photothermal piezoelectric spectroscopy of Cd1−xBexTe, showing potential in X-ray and γ-ray detectors. Han et al. investigated characteristics of a copper foil three-electrode planar spark gap high-voltage switch integrated with EFI. Ding et al. showed a way to improve electrochemical migration resistance of nanosilver paste as a bonding material. New advances have been reported for LEDs and photonic crystal waveguides. Bai et al. proposed a new method for the measurement of adhesive force between a single μLED and the substrate. Zhang et al. analyzed strain relaxation effect on the peak wavelength of blue micro-LEDs. Shi et al. proposed an all-dielectric terahertz photonic crystal waveguide operating in 6G terahertz communication window. New applications of optoelectronic materials and devices have also been reported for piezoelectric sensors, crystal materials, SAR, and OCT. Wang et al. established a collision model of wheat grains impacting a force plate with a piezoelectric sensor. He et al. demonstrated application of a BaGa4Se7 crystal in a tunable and compact mid-infrared optical parametric oscillator with a repetition rate of up to 250 Hz. Wang et al. proposed a new feature learning method for the automatic target recognition of SAR images. Shi et al. reviewed the quantitative assessment methods used for early enamel caries with OCT. 
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650 7 |a Technology: general issues  |2 bicssc 
653 |a 3D printing 
653 |a adhesive force measurement 
653 |a AFM 
653 |a Ag nanoparticles 
653 |a automatic target recognition (ATR) 
653 |a BaGa4Se7 
653 |a collision model 
653 |a doping 
653 |a dynamic characteristics 
653 |a early enamel caries 
653 |a elastic characteristics 
653 |a elastic recovery coefficient 
653 |a electric field strength 
653 |a electrochemical migration 
653 |a impedance characteristics 
653 |a InGaN/GaN multiple quantum well (MQW) 
653 |a ionic migration 
653 |a kinematics 
653 |a mass transfer 
653 |a micro-LED arrays 
653 |a mid-infrared 
653 |a n/a 
653 |a nanosilver 
653 |a optical coherence tomography 
653 |a optical parametric oscillator 
653 |a photoluminescence (PL) 
653 |a photonic crystal waveguide 
653 |a photothermal spectroscopy 
653 |a pooling 
653 |a quantitative assessment 
653 |a quantitative indicators 
653 |a Raman shift 
653 |a reliability 
653 |a response surface method 
653 |a semiconductors 
653 |a sintering 
653 |a sparse representation 
653 |a spatial pyramid matching (SPM) 
653 |a static characteristics 
653 |a strain relaxation 
653 |a surface defects 
653 |a synthetic aperture radar (SAR) images 
653 |a terahertz 
653 |a three-electrode planar spark gap high voltage switch 
653 |a μLED 
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