Results 101 to 110 of about 12,062 (243)
Yttrium doping in Sb‐alloyed BiSe synergistically induces Bi vacancies and flattens conduction bands, simultaneously slashing lattice thermal conductivity by 50% and boosting the power factor. The optimized n‐type Bi0.64Sb0.3Y0.06Se delivers a peak zT of 0.91 at 393 K (average zT 0.76, 300–523 K) and an 8‐pair module with 4.6% conversion efficiency ...
Wenhao Xie +16 more
wiley +1 more source
HTC-HAD: A Hybrid Transformer-CNN Approach for Hyperspectral Anomaly Detection
Hyperspectral anomaly detection (HAD) identifies anomalies by analyzing differences between anomalies and background pixels without prior information, presenting a significant challenge. Most existing studies leverage the high correlation in spectral and
Minghua Zhao, Wen Zheng, Jing Hu
doaj +1 more source
Direct channel implantation of B and BF2 ions was employed to fabricate amorphous IGZO TFTs with improved electrical and stability properties. B and BF2 implantation modulate oxygen vacancies within the IGZO channel. The field‐effect mobility of ion‐implanted IGZO TFTs was enhanced as compared to pristine IGZO TFTs.
Beom Soo Kim +9 more
wiley +1 more source
Band Subset Selection Approaches Based On Sparse Representation for Hyperspectral Imagery [PDF]
With the advancement of remote sensing technology, the applications of hyperspectral imagery (HSI) are more and more popular. Despite of many success achieved by HSI techniques, there are still some problems to be solved.
Lu, Meng-Han
core
Giant Electrostriction in Halide Perovskites Revisited With Double‐Modulation Interferometry
A giant electrostrictive effect in lead halide perovskites had been reported previously. This work uses sensitive interferometry to measure the electromechanical response of various halide perovskite samples. The results reveal no intrinsic electrostrictive compression. Instead, the materials expand primarily under an applied electric field as a result
Philipp Ramming +4 more
wiley +1 more source
Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection [PDF]
Band selection plays a crucial role in hyperspectral image classification by removing redundant and noisy bands and retaining discriminative ones. However, most existing deep learning-based methods are aimed at dealing with a specific band selection ...
Shang, Ronghua +5 more
core +1 more source
This work presents a ligand‐pairing strategy that reconstructs lead sulfide quantum dot surfaces for efficient short‐wave infrared optoelectronics. A low‐reactivity thiourea precursor combined with hydrobromic acid enables monodisperse and fully passivated quantum dots.
Dongeon Kim +16 more
wiley +1 more source
Acid Site Design for Low Hydration Proton Exchange Membranes
α‐CF2 substitution adjacent to sulfonic acid increases acid strength and enables efficient proton transport under low hydration conditions. This molecular design reduces the dependence of hydrocarbon proton exchange membranes on excessive water uptake, addressing a key limitation of conventional hydrocarbon PEMs while maintaining favorable conductivity
Ajay Kumar +10 more
wiley +1 more source
Tunable Complementary Doping Strategy Enables High‐Performance Homo‐Channel CMOS in Monolayer WSe2
Polarity‐selective modulation enables a homo‐channel WSe2 CMOS platform from a single 2D semiconductor. MoOx and AlN tune WSe2 toward p‐ and n‐type operation, respectively, yielding complementary FETs and inverters with balanced switching, high voltage gain, low static power, and promising scalability for 2D logic integration.
Kuan‐Hsiang Chiu +7 more
wiley +1 more source
Hyperspectral anomaly detection aims to identify rare pixels that deviate from complex backgrounds without prior target information. Reconstruction-based methods have shown promising performance by modeling the background and detecting anomalies through ...
Haitao Liu, Kai Liu, Liguo Wang
doaj +1 more source

