Results 91 to 100 of about 323,277 (326)

Universal Neuromorphic Element: NbOx Memristor with Co‐Existing Volatile, Non‐Volatile, and Threshold Switching

open access: yesAdvanced Functional Materials, EarlyView.
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley   +1 more source

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

open access: yesAdvanced 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   +18 more
wiley   +1 more source

About one unsolved problem in asymptotic p-stability of stochastic systems with delay

open access: yesAIMS Mathematics
The problem of asymptotic $ p $-stability for a linear differential equation with delay and stochastic perturbations, described by a set of mutually independent standard Wiener processes and the Poisson measure, is considered. It is shown the solution of
Leonid Shaikhet
doaj   +1 more source

On a smooth and nowhere equal to zero distribution density of a stochastic differential equation’s solution on manifold

open access: yesИзвестия высших учебных заведений. Поволжский регион: Физико-математические науки, 2021
Background. E. Nelson [1-3] introduced derivatives on the average in the works and over time, they began to be studied as a separate class of stochastic differential equations.
O.O. Zheltikova
doaj   +1 more source

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

open access: yesAdvanced 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   +17 more
wiley   +1 more source

Reinforced Concrete‐Inspired Multiscale Hierarchical Metamaterial Composite for Synergistic Enhancement Across Thermal, Electromagnetic, and Mechanical Domains

open access: yesAdvanced Functional Materials, EarlyView.
A structurally integrated multiscale hierarchical metamaterial composite (MHMC), inspired by the synergistic architecture of reinforced concrete, achieves simultaneous enhancement of thermal, electromagnetic, and mechanical functionalities. By combining a carbon black‐based mechanical metamaterial with a porosity‐graded cellulose acetate aerogel, this ...
Jeongwoo Lee   +9 more
wiley   +1 more source

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