Results 51 to 60 of about 24,114 (195)

Pinch‐Off Mechanism of High‐Gain Organic Transistors with Field Plates: Statistical Analysis, Device Simulations and Compact Modeling

open access: yesAdvanced Electronic Materials, EarlyView.
Statistical analysis of over 3000 devices reveals a novel operating mechanism in printed organic thin‐film transistors featuring a grounded field plate beneath the source. The field plate governs the low and tunable pinch‐off, enabling excellent current saturation and ultra‐high gain.
Kazuki Ono   +8 more
wiley   +1 more source

Structure and Thermal Properties of 2,2′-Azobis(1H-Imidazole-4,5-Dicarbonitrile)—A Promising Starting Material for a Novel Group of Energetic Compounds

open access: yesMolecules, 2020
A high-nitrogen compound, 2,2′-azobis(1H-imidazole-4,5-dicarbonitrile) (TCAD), was synthesized from commercially available 2-amino-1H-imidazole-4,5-dicarbonitrile. It was characterized with infrared and nuclear magnetic resonance spectroscopy.
Rafał Lewczuk   +3 more
doaj   +1 more source

Beyond Silicon: Toward Sustainable, NIR‐II, and Conformable Organic Photodiodes

open access: yesAdvanced Energy Materials, EarlyView.
In this perspective, a strategic shift in organic photodetector (OPD) research is proposed: instead of the incremental advances in silicon's stronghold arena, the most impactful future for OPDs lies in addressing silicon's intrinsic limitations, i.e., detection in the longer wavelength range above silicon's coverage (>1100 nm, termed as near infrared ...
Hrisheekesh Thachoth Chandran   +7 more
wiley   +1 more source

Intelligent Manufacturing: TCAD-Assisted Adaptive Weighting Neural Networks

open access: yesIEEE Access, 2018
Using machine intelligence on device and process performance prediction is an emerging methodology in the IC industry. While semiconductor technology computer-aided design (TCAD) has been researched and developed for over 30 years, it should contribute ...
Chien Y. Huang   +5 more
doaj   +1 more source

An Early Warning System for Asteroid Impact

open access: yes, 2010
Earth is bombarded by meteors, occasionally by one large enough to cause a significant explosion and possible loss of life. Although the odds of a deadly asteroid strike in the next century are low, the most likely impact is by a relatively small ...
Tonry, John L.
core   +1 more source

Investigation of charge collection in a CdTe-Timepix detector [PDF]

open access: yes, 2013
Energy calibration of CdTe detectors is usually done using known reference sources disregarding the exact amount of charge that is collected in the pixels. However, to compare detector and detector model the quantity of charge collected is needed.
Fröjdh, C.   +5 more
core   +1 more source

Machine Learning‐Based Standard Compact Model Binning Parameter Extraction Methodology for Integrated Circuit Design of Next‐Generation Semiconductor Devices

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a neural network‐based methodology for Berkeley Short‐Channel IGFET Model–Common Multi‐Gate parameter extraction of gate‐all‐around field effect transistors, integrating binning adaptive sampling and transformer neural networks to efficiently capture current–voltage and capacitance–voltage characteristics.
Jaeweon Kang   +4 more
wiley   +1 more source

Rad-hard vertical JFET switch for the HV-MUX system of the ATLAS upgrade Inner Tracker

open access: yes, 2015
This work presents a new silicon vertical JFET (V-JFET) device, based on the trenched 3D-detector technology developed at IMB-CNM, to be used as switches for the High-Voltage powering scheme of the ATLAS upgrade Inner Tracker.
Fernandez-Martinez, Pablo   +5 more
core   +1 more source

One-Dimensional Multi-Subband Monte Carlo Simulation of Charge Transport in Si Nanowire Transistors [PDF]

open access: yes, 2016
In this paper, we employ a newly-developed one-dimensional multi-subband Monte Carlo (1DMSMC) simulation module to study electron transport in nanowire structures.
Alexander, Craig   +9 more
core   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari   +2 more
wiley   +1 more source

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