Results 71 to 80 of about 27,266 (287)
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
Random Telegraph Noise (RTN) Model and Simulation
Outline Background of RTN and simulation challenge New RTN simulation flow ...
openaire +1 more source
The concept of foulant particle manipulation and detachment from active microfiltration membranes via voltage‐driven vibrations is introduced. Actuator components are initially integrated onto the filtration membranes using an airbrush spray printing technique.
Irem Gurbuz, Hanieh Bazyar, Andres Hunt
wiley +1 more source
Noise-based information processing: Noise-based logic and computing: what do we have so far?
We briefly introduce noise-based logic. After describing the main motivations we outline classical, instantaneous (squeezed and non-squeezed), continuum, spike and random-telegraph-signal based schemes with applications such as circuits that emulate the ...
Bezrukov, Sergey +5 more
core +1 more source
Mesoporous Carbon Thin Films with Large Mesopores as Model Material for Electrochemical Applications
Mesoporous carbon thin films possessing 70 nm mesopores are prepared on titanium substrates by soft templating of resol resins with a self‐synthesized poly(ethylene oxide)‐block‐poly(hexyl acrylate) block copolymer. A strategy to avoid corrosion of the metal substrate is presented, and the films are extensively characterized in terms of morphology ...
Lysander Q. Wagner +9 more
wiley +1 more source
Nonlinearly driven Landau-Zener transition with telegraph noise
We study Landau-Zener like dynamics of a qubit influenced by transverse random telegraph noise. The telegraph noise is characterized by its coupling strength, $v$ and switching rate, $\gamma$.
E. C. G. Stueckelberg +5 more
core +1 more source
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak +14 more
wiley +1 more source
The effects of X-ray irradiation on the random noises, especially the random telegraph noises (RTN), of a 45-nm on 65-nm stacked CMOS image sensor with 8.3M 1.1 μm pixels are investigated.
Calvin Yi-Ping Chao +8 more
doaj +1 more source
Hidden entanglement in the presence of random telegraph dephasing noise
Entanglement dynamics of two noninteracting qubits, locally affected by random telegraph noise at pure dephasing, exhibits revivals. These revivals are not due to the action of any nonlocal operation, thus their occurrence may appear paradoxical since ...
Benenti, G. +4 more
core +1 more source
Contact Lens with Moiré Patterns for High‐Precision Eye Tracking
This work presents a passive contact lens for high‐precision eye tracking, integrating a microscopic moiré grating label. The parallax‐induced shift of macroscopic moiré patterns enables angle measurement with 0.28° precision using a standard camera under ambient light.
Ilia M. Fradkin +11 more
wiley +1 more source

