Results 51 to 60 of about 24,792 (217)

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

An Algorithmic Framework for Efficient Large-Scale Circuit Simulation Using Exponential Integrators

open access: yes, 2015
We propose an efficient algorithmic framework for time domain circuit simulation using exponential integrator. This work addresses several critical issues exposed by previous matrix exponential based circuit simulation research, and makes it capable of ...
Cheng, Chung-Kuan   +4 more
core   +1 more source

Viable 3C-SiC-on-Si MOSFET design disrupting current Material Technology Limitations [PDF]

open access: yes, 2019
The cubic polytype (3C-) of Silicon Carbide (SiC) is an emerging semiconductor technology for power devices. The featured isotropic material properties along with the Wide Band Gap (WBG) characteristics make it an excellent choice for power Metal Oxide ...
Antoniou, M   +6 more
core   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

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

open access: yesIEEE 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   +7 more
doaj   +1 more source

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

open access: yesPLoS 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   +8 more
doaj   +1 more source

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

open access: yesENERGY &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   +11 more
wiley   +1 more source

Subthreshold Swing Control in IGZO TFTs Using Floating‐Gate Engineering for AMOLED Displays

open access: yesJournal of the Society for Information Display, EarlyView.
This study demonstrates a novel IGZO floating‐gate thin‐film transistor (FG‐TFT) enabling precise subthreshold swing (SS) modulation via layout‐defined gate coupling ratio engineering. A source‐overlapped floating‐gate structure achieves wide, linear SS tuning without increasing device footprint, enhancing low‐gray uniformity in high‐resolution AMOLED ...
Sunyeol Bae   +6 more
wiley   +1 more source

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

open access: yesFrontiers 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   +6 more
doaj   +1 more source

An Incremental Algorithm for Computing Cylindrical Algebraic Decompositions [PDF]

open access: yes, 2012
In this paper, we propose an incremental algorithm for computing cylindrical algebraic decompositions. The algorithm consists of two parts: computing a complex cylindrical tree and refining this complex tree into a cylindrical tree in real space.
Chen, Changbo, Maza, Marc Moreno
core  

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