Results 51 to 60 of about 9,307 (224)

Expanding TCAD Simulations from Grid to Cloud [PDF]

, 2020
-In this work, the distribution, execution and performance of TCAD simulations on grid and cloud systems are investigated. A module for distributed computing which can uniformly interface both grid and cloud computing systems has been implemented within ...
H Demel, Z Stanojević, G Rzepa, M Karner, T Grasser   +4 more
core  

Design Decoupling of Inner- and Outer-Gate Lengths in Nanosheet FETs for Ultimate Scaling

IEEE Journal of the Electron Devices Society
Using a full design-technology-co-optimization (DTCO) methodology, we show the advantages of design decoupling of inner - and outer-gates in gate-all-around nanosheet FETs.
Krishna K. Bhuwalka, Oskar Baumgartner, Hao Wu, Lei Hou, Gerhard Rzepa, Dmitry Yakimets, Markus Karner, Changze Liu   +7 more
doaj   +1 more source

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

Tandem Neural Network Rapidly Solves Multivalued Inverse Problems: Application to Oxide‐Semiconductor Characterization

Advanced Intelligent Systems, EarlyView.
A tandem neural network directly solves the multivalued inverse problem of extracting semiconductor parameters from transistor measurements. Trained on only 1000 simulations, the network infers six material parameters (e.g., defect states, carrier concentration, mobility) in under 1 ms, demonstrating a broadly applicable framework for semiconductor ...
Masatoshi Kimura, Keisuke Ide, Kuan‐Ju Zhou, Atsushi Shimizu, Takayoshi Katase, Hidenori Hiramatsu, Kei Terayama, Hideo Hosono, Toshio Kamiya   +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

Molecules, 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, Maria Książek, Katarzyna Gańczyk-Specjalska, Katarzyna Cieślak   +3 more
doaj   +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

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

Bio‐inspired inorganic/organic semiconductor heterostructure synapses with UV–visible–NIR wavelength‐dependent responses for image recognition

InfoMat, EarlyView.
This study presents a SnSe2/DNTT heterostructure photonic synaptic transistor that exhibits wavelength‐dependent photoresponses and synaptic plasticity. Operating with low energy consumption, the device extends spectral sensitivity from ultraviolet (UV) to near‐infrared (NIR) wavelengths, significantly enhancing neuromorphic computing performance. When
Shuying He, Huaiyu Gao, Junyao Zhang, Hongrong Chang, Zhiyu Zhang, Jianda Xu, Jie Yang, Jia Huang   +7 more
wiley   +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

Simulation Insights Into Enhanced Emitter Contact Passivation via LECO on Industrial TOPCon Solar Cells

Progress in Photovoltaics: Research and Applications, EarlyView.
Numerical simulations were employed to boost industrial TOPCon cells from 25.5% to 26.07% by suppressing J0e,metal,eff without compromising ρc with a dual optimization strategy: (1) engineering the selective emitter sheet resistance (Rsh_SE) to 117 Ω/□ and (2) reducing the LECO‐induced partial metal contact ratio (fpmc) to 1%.
Jiayu Xu, Yun Qin, Zhiyuan Zhang, Wei Fan, Wu Zhang, Qun Liu, Jiaji Lin, Yuhao Cheng, Ning Song, Bram Hoex, Lang Zhou, Fa‐Jun Ma   +11 more
wiley   +1 more source