Results 61 to 70 of about 24,214 (199)

Analytics-statistics mixed training and its fitness to semisupervised manufacturing.

PLoS ONE, 2019
While there have been many studies using machine learning (ML) algorithms to predict process outcomes and device performance in semiconductor manufacturing, the extensively developed technology computer-aided design (TCAD) physical models should play a ...
Parag Parashar, Chun Han Chen, Chandni Akbar, Sze Ming Fu, Tejender S Rawat, Sparsh Pratik, Rajat Butola, Shih Han Chen, Albert S Lin   +8 more
doaj   +1 more source

Solution Processed Polymer Source‐Gated Transistors for Zero‐Power Photosensing

Advanced Electronic Materials, EarlyView.
This study demonstrates the first solution‐processed bulk heterojunction organic source‐gated transistors (OSGTs) and photo‐OSGTs fabricated using DPP‐DTT: PCBM. Copper‐electrode OSGTs show deep off‐state at zero gate‐source voltage, channel length‐independent on‐state current, and low voltage saturation (γ = 0.22).
Eva Bestelink, Ahmed Wafic, Mattia Scagliotti, Dimitar Kutsarov, Imalka Jayawardena, Matteo Rapisarda, Radu A. Sporea   +6 more
wiley   +1 more source

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

, 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, Flores, David, Hidalgo, Salvador, Lynn, David, Quirion, David, Ullan, Miguel   +5 more
core   +1 more source

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

, 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, Asenov, Asen, Brown, Andrew, Georgiev, Vihar, Millar, Campbell, Nedjalkov, Mihail, Riddet, Craig, Sadi, Toufik, Towie, Ewan, Wang, Liping   +9 more
core   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Beyond ideal models: non-idealities in TCAD simulations of dielectric-modulated FETs for label-free biosensing

Frontiers in Electronics
Dielectric modulation in field-effect transistors (FETs) for label-free biosensing have been extensively explored to date, mostly due to the availability of semiconductor device technology computer-aided design (TCAD) tools.
Rupam Goswami, Vivek Menon U, Suman Kumar Mitra, Deepjyoti Deb, Prachuryya Subash Das, Hirakjyoti Choudhury, Raja Vipul Gautam   +6 more
doaj   +1 more source

Usage and Limitation of Standard Mobility Models for TCAD Simulation of Nanoscaled FD-SOI MOSFETs

Active and Passive Electronic Components, 2015
TCAD tools have been largely improved in the last decades in order to support both process and device complementary simulations which are usually based on continuously developed models following the technology progress.
A. Ciprut, A. Chelly, A. Karsenty
doaj   +1 more source

Triple combination of amantadine, ribavirin, and oseltamivir is highly active and synergistic against drug resistant influenza virus strains in vitro. [PDF]

PLoS ONE, 2010
The rapid emergence and subsequent spread of the novel 2009 Influenza A/H1N1 virus (2009 H1N1) has prompted the World Health Organization to declare the first pandemic of the 21st century, highlighting the threat of influenza to public health and ...
Jack T Nguyen, Justin D Hoopes, Minh H Le, Donald F Smee, Amy K Patick, Dennis J Faix, Patrick J Blair, Menno D de Jong, Mark N Prichard, Gregory T Went   +9 more
doaj   +1 more source

Low Gain Avalanche Detectors (LGAD) for particle physics and synchrotron applications [PDF]

, 2018
A new avalanche silicon detector concept is introduced with a low gain in the region of ten, known as a Low Gain Avalanche Detector, LGAD. The detector's characteristics are simulated via a full process simulation to obtain the required doping profiles ...
Ashby, J., Bates, R., Bullough, M., Doherty, F., Flores, L., Maneuski, D., Moffat, N., Simon, L., Tartoni, N.   +8 more
core   +1 more source

Computationally Driven Advances in Cu‐CNT On‐Chip Interconnect Materials: From First Principles to Machine Learning

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang, Jie Liang, Yi Li, Zhenyu Wang, Haoyuan Li, Zhen Yuan, Jiuren Zhou, Rongmei Chen, Wensheng Zhao, Lei Zhang, Hanshen Xin, Jianhua Zhang   +11 more
wiley   +1 more source