Results 111 to 120 of about 1,354,418 (296)
Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley +1 more source
Introduction to compressive sensing in acoustics
Compressive sensing (CS) in acoustics has received significant attention in the last decade, and thus motivates this special issue. CS emerged from the signal processing and applied math community and has since generated compelling results in acoustics ...
Seong, Woojae +7 more
core +1 more source
A closed‐loop brain–machine interface with a PFAPT hydrogel electrode identifies prefrontal θ‐band as a neuropathic pain biomarker. The hydrogel enables stable 28 d ECoG recording and delivers θ‐triggered cortical stimulation, alleviating pain and affective behaviors in rats via bidirectional regulation of inflammation and central sensitization ...
Yun Ji +17 more
wiley +1 more source
In recent years, Compressive Sensing (CS) theory has been very popular in the data sensing and process area as it utilizes the sparsity and measurement matrix to reconstruct the compressible signal from limited samples successfully.
Wei Zhu, Ming Jiang, Xin He, Jun Hu
doaj +1 more source
Optimizing Stratification in Binary Colloidal Supraparticles
Supraparticles from binary particle populations show stratification when dried at high Péclet numbers. In spray‐dried systems at high initial particle concentration and fast drying conditions optimal combinations of particle size ratios and volume fractions that produce maximal stratification are found both in experiment and simulation, contrasting the
Frederic Rudlof +5 more
wiley +1 more source
Secure Transcoding for Compressive Multimedia Sensing
[[abstract]]Compressive sensing (CS) has recently attracted much attention due to its unique feature of directly and simultaneously acquiring compressed and encrypted data based on their sparse or compressible properties.
林智揚;Lin, Chih-Yang;Li-Wei Kang; Hung-Wei Chen;Chia-Mu Yu;Chun-Shien Lu;Chao-Yung Hsu;Soo-Chang Pei
core
We report the solid‐state ball milling, a traditional, reliable, mass‐productive material processing, to prepare the air‐stable and dual‐phase GeSe2‐x nanoparticles with extended photodetection feasibility toward optical‐wavelength regions. We further display photonic multi‐valued logic (MVL) circuit through the employment of a hybrid PMMA/GeSe2‐x ...
An‐Ting Tsai +8 more
wiley +1 more source
Halide Perovskite: A Rich Source of Thermal Insulator
Halide perovskites exhibit ultralow thermal conductivity driven by intrinsic lattice softness and strong anharmonicity, falling below conventional defect‐engineering limits. Weak metavalent bonding, A‐site rattling, and dynamic octahedral tilting drive phonon scattering to the Ioffe–Regel limit, where wave‐like tunneling replaces particle‐like ...
Haolin Ye +3 more
wiley +1 more source
Compressive Sensing (CS) is a transformative signal processing framework that enables sparse signal acquisition at rates below the Nyquist limit, offering substantial advantages in data efficiency and reconstruction accuracy.
Lekshmi R. Chandran +4 more
doaj +1 more source
Content-Based Compressive Sensing
Compressive sensing (CS)provides an alternative to Shannon/Nyquist sampling theorem by performing signal acquisition and compression simultaneously when the signals are sparse or compressible in certain basis.
Cheng, Y +11 more
core +1 more source

