Results 51 to 60 of about 133,224 (286)

Study on electron stochastic motions in the magnetosonic wave field: Test particle simulations

Earth and Planetary Physics, 2021
Using the test particle simulation method, we investigate the stochastic motion of electrons with energy of 300 keV in a monochromatic magnetosonic (MS) wave field.
Kai Fan, XinLiang Gao, QuanMing Lu, Shui Wang   +3 more
doaj   +1 more source

Stochastic resonancevs.resonant activation [PDF]

Europhysics Letters (EPL), 2006
The phenomenon of stochastic resonance by which it is possible to boost the transduction of information by tuning into noise is experimentally and numerically contrasted with the phenomenon of resonant activation, i.e. the occurrence of a minimal, averaged residence time at an optimal time-scale in the presence of barrier modulations.
Schmitt, C., Dybiec, Bartlomiej, Hänggi, Peter, Bechinger, Clemens   +3 more
openaire   +4 more sources

Roll‐to‐Roll Mechanical Exfoliation for Large‐Area van der Waals Films with Preserved Crystallographic Alignment

Advanced Functional Materials, EarlyView.
A roll‐to‐roll exfoliation method is demonstrated that preserves the crystallographic alignment of anisotropic 2D materials over large areas, enabling scalable fabrication of directional electronic and optoelectronic devices. Abstract Anisotropic 2D materials such as black phosphorus (BP), GeS or CrSBr, exhibit direction‐dependent optical and ...
Esteban Zamora‐Amo, Francisco Fernandez‐Canizares, Yigit Sozen, Thomas Pucher, Pedro L Alcázar Ruano, Carmen Munuera, Ryo Ishikawa, Naoya Shibata, María Varela, Der‐Yuh Lin, Bing Wu, Jorge Quereda, Zdenek Sofer, Gabriel Sánchez‐Santolino, Andres Castellanos‐Gomez   +14 more
wiley   +1 more source

Aperiodic signals processing via parameter-tuning stochastic resonance in a photorefractive ring cavity

AIP Advances, 2014
Based on solving numerically the generalized nonlinear Langevin equation describing the nonlinear dynamics of stochastic resonance by Fourth-order Runge-Kutta method, an aperiodic stochastic resonance based on an optical bistable system is numerically ...
Xuefeng Li, Guangzhan Cao, Hongjun Liu
doaj   +1 more source

Point singularities and suprathreshold stochastic resonance in optimal coding

, 2004
Motivated by recent studies of population coding in theoretical neuroscience, we examine the optimality of a recently described form of stochastic resonance known as suprathreshold stochastic resonance, which occurs in populations of noisy threshold ...
Abbott, Brunel, Charles E.M. Pearce, Cover, Derek Abbott, DeWeese, Dimitrov, Fauve, Gammaitoni, Gray, Harmer, Hoch, Mark D. McDonnell, Martorell, McDonnell, McDonnell, McDonnell, Nigel G. Stocks, Nocedal, Pouget, Rose, Rose, Rousseau, Rousseau, Stocks, Stocks, Stocks, Stocks, Stocks, Wu   +29 more
core   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Study of the Method of Multi-Frequency Signal Detection Based on the Adaptive Stochastic Resonance

Abstract and Applied Analysis, 2013
Recently, the stochastic resonance effect has been widely used by the method of discovering and extracting weak periodic signals from strong noise through the stochastic resonance effect.
Zhenyu Lu, Tingya Yang, Min Zhu
doaj   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Research and application of weak fault diagnosis method based on asymmetric potential stochastic resonance

Measurement + Control, 2019
Because fault characteristics are often difficult to extract from a strong noise background, it is essential for mechanical fault diagnosis to extract a weak characteristic signal with a very small signal-to-noise ratio from a noisy interference ...
Zhixing Li, Boqiang Shi, Xueping Ren, Wenyan Zhu   +3 more
doaj   +1 more source

A Novel Type of Stochastic Resonance Potential Well Model and Its Application

IEEE Access, 2019
For a stochastic resonance system, the characteristics of the nonlinear model have an important influence on the output. To further improve the enhanced detection of stochastic resonance, a novel potential well stochastic resonance model is constructed ...
Shangbin Jiao, Shuang Lei, Wei Jiang, Qing Zhang, Weichao Huang   +4 more
doaj   +1 more source