Results 11 to 20 of about 31,302 (278)

Wide-Dynamic-Range Lead-Free SWIR Image Sensors Based on InAs Thin-Film Quantum-Dot Photodiodes [PDF]

open access: yesSensors
This work presents a monolithically integrated short-wavelength infrared (SWIR) image sensor based on indium arsenide (InAs) quantum dot photodiodes (QDPDs).
Myonglae Chu   +22 more
doaj   +2 more sources

Post-processing of real-time quantum event measurements for an optimal bandwidth [PDF]

open access: yesScientific Reports, 2023
Single electron tunneling and its transport statistics have been studied for some time using high precision charge detectors. However, this type of detection requires advanced lithography, optimized material systems and low temperatures (mK). A promising
J. Kerski   +9 more
doaj   +2 more sources

Statistical Analysis of Random Telegraph Noises of MOSFET Subthreshold Currents Using a 1M Array Test Chip in a 40 nm Process

open access: yesIEEE Journal of the Electron Devices Society, 2021
It is difficult to measure the random telegraph noises (RTN) of MOSFET subthreshold currents at the sub-pA level directly and accurately. In this work, we used a charge integration method similar to the operation of the CMOS image sensors (CIS) to ...
Calvin Yi-Ping Chao   +7 more
doaj   +1 more source

Random telegraph signals in molecular junctions

open access: yesJournal of Physics: Condensed Matter, 2014
We investigate conductance fluctuations in molecular junctions using a mechanically controllable break junction setup in a liquid environment. In contrast to conventional break junction measurements, time-dependent conductance signals were recorded while reducing the gap size between the two contact electrodes.
Brunner, Jan   +3 more
openaire   +7 more sources

Theory of slow traps and random telegraph signals in ultra-small planar MOSFETs

open access: yesAIP Advances, 2023
It is shown that ultra-small MOSFETs with heavily doped substrates contain a significant concentration of slow traps in their space-charge regions. Such a trap arises due to random doping fluctuations and is created if a few shallow impurities form a ...
B. I. Fuks
doaj   +1 more source

Random telegraph signal analysis with a recurrent neural network [PDF]

open access: yesPhysical Review E, 2020
We use an artificial neural network to analyze asymmetric noisy random telegraph signals (RTSs), and extract underlying transition rates. We demonstrate that a long short-term memory neural network can vastly outperform conventional methods, particularly for noisy signals. Our technique gives reliable results as the signal-to-noise ratio approaches one,
N. J. Lambert   +4 more
openaire   +3 more sources

Multilevel RTN Removal Tools for Dynamic FBG Strain Measurements Corrupted by Peak-Splitting Artefacts

open access: yesSensors, 2021
Strain measurements using fibre Bragg grating (FBG) optical sensors are becoming ever more commonplace. However, in some cases, these measurements can become corrupted by sudden jumps in the signal, which manifest as spikes or step-like offsets in the ...
Dominik Johannes Marius Fallais   +4 more
doaj   +1 more source

Characterization of dark current signal measurements of the ACCDs used on board the Aeolus satellite [PDF]

open access: yesAtmospheric Measurement Techniques, 2021
Even just shortly after the successful launch of the European Space Agency satellite Aeolus in August 2018, it turned out that dark current signal anomalies of single pixels (so-called “hot pixels”) on the accumulation charge-coupled devices (ACCDs) of ...
F. Weiler   +9 more
doaj   +1 more source

RTNinja: A generalized machine learning framework for analyzing random telegraph noise signals in nanoelectronic devices [PDF]

open access: yesAPL Machine Learning
Random telegraph noise is a prevalent variability phenomenon in nanoelectronic devices, arising from stochastic carrier exchange at defect sites and critically impacting device reliability and performance.
Anirudh Varanasi   +3 more
doaj   +1 more source

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