Results 31 to 40 of about 11,517 (220)

A Physical TCAD Mobility Model of Amorphous In-Ga-Zn-O (a-IGZO) Devices with Spatially Varying Mobility Edges, Band-Tails, and Enhanced Low-Temperature Convergence

Micromachines
Amorphous indium gallium zinc oxide (a-IGZO) is becoming an increasingly important technological material. Transport in this material is conceptualized as the heavy disorder of the material causing a conduction or mobility band-edge that randomly varies ...
Mischa Thesberg, Franz Schanovsky, Ying Zhao, Markus Karner, Jose Maria Gonzalez-Medina, Zlatan Stanojević, Adrian Chasin, Gerhard Rzepa   +7 more
doaj   +1 more source

TCAD device modelling and simulation of wide bandgap power semiconductors [PDF]

, 2018
Technology Computer Aided Design (TCAD) is essential for devices technology development, including wide bandgap power semiconductors. However. most TCAD tools were originally developed for silicon and their performance and accuracy for wide band gap ...
Samuel Perkins, Lophitis, Neo, Antoniou, Marina, Arvanitopoulos, Anastasios, Neophytos Lophitis, Marina Antoniou, Anastasios Arvanitopoulos, Perkins, Samuel, Lophitis, Neophytos   +8 more
core   +1 more source

Efficacy of combined therapy with amantadine, oseltamivir, and ribavirin in vivo against susceptible and amantadine-resistant influenza A viruses.

PLoS ONE, 2012
The limited efficacy of existing antiviral therapies for influenza--coupled with widespread baseline antiviral resistance--highlights the urgent need for more effective therapy.
Jack T Nguyen, Donald F Smee, Dale L Barnard, Justin G Julander, Matthew Gross, Menno D de Jong, Gregory T Went   +6 more
doaj   +1 more source

TCAD Sensitivity Analysis for Device Optimization

, 2009
We explore the use of sensitivity analysis for technology computer-aided design (TCAD) optimization. By directly coupling device response to model parameters, our approach may be used to generate derivatives for gradient-based optimization. An example is
Sanchez, Juan
core   +1 more source

Improvement of TCAD Augmented Machine Learning Using Autoencoder for Semiconductor Variation Identification and Inverse Design

IEEE Access, 2020
A machine learning (ML) model by combing two autoencoders and one linear regression model is proposed to avoid overfitting and to improve the accuracy of Technology Computer-Aided Design (TCAD)-augmented ML for semiconductor structural variation ...
Kashyap Mehta, Sophia Susan Raju, Ming Xiao, Boyan Wang, Yuhao Zhang, Hiu Yung Wong   +5 more
doaj   +1 more source

tcad-artifact

, 2023
artifact
openaire   +1 more source

Amorphous IGZO, Crystalline IGO, Amorphous IGZO Triple Active Layer With 2D Electron Gas at Both Interfaces for High Performance TFTs

Advanced Materials Technologies, EarlyView.
The dual‐gate coplanar a‐IGZO/C‐IGO/a‐IGZO TFT is investigated, exhibiting a high filed‐effect mobility of 53.81 cm2 V−1s−1 with excellent stability. The amorphous IGZO layer provides smooth surface, which carrier scattering and high‐quality interface between gate insulator and active layer.
Solbee Lee, Taebin Lim, Seungho Lee, Sunaina Priyadarshi, Jin Jang   +4 more
wiley   +1 more source

Implementation of TCAD-labeled ASMT.

, 2019
(a) The dataset is split into the training set and test set. (b) The baseline model is trained with the experimentally labeled data. (c) The TCAD-labeled ASMT model is trained with the experimentally labeled and TCAD-labeled data.
Chandni Akbar (7224920), Rajat Butola (7224932), Parag Parashar (7224914), Chun Han Chen (7224917), Albert S. Lin (7224938), Tejender S. Rawat (7224926), Shih Han Chen (7224935), Sze Ming Fu (7224923), Sparsh Pratik (7224929)   +8 more
core   +1 more source

Wake‐Up and Fatigue under Electrical Cycling in HfO2‐Based Ferroelectrics: Mechanisms and Strategies toward Reliable Devices

Advanced Science, EarlyView.
HfO2‐based ferroelectrics exhibit wake‐up and fatigue behaviors during electrical cycling, significantly affecting device endurance and reliability. These phenomena are governed by defect dynamics, including oxygen vacancy redistribution and charge trapping.
Hongseok Kim, Shinhyeong Lee, Hyojun Choi, Minseung Park, Hyunah Cho, Min Hyuk Park, Yunseok Kim   +6 more
wiley   +1 more source

Fabrication and Simulating Solar Cell Devices using Silvaco TCAD Tools [PDF]

, 2013
Solar cells are p-i-n photodiodes, which are operated under forward bias. The intention is to convert the incoming optical power into electrical power with maximum efficiency. In this paper we are going to design a solar cell and simulation of solar cell
Srivastava, Anand Kumar, Chahar, Sanjay Singh   +1 more
core   +1 more source