Results 51 to 60 of about 562 (143)
III-V Nanowire MOSFET High-Frequency Technology Platform [PDF]
This thesis addresses the main challenges in using III-V nanowireMOSFETs for high-frequency applications by building a III-Vvertical nanowire MOSFET technology library.
Andric, Stefan
core
A charge‐domain ternary content‐addressable memory using one capacitor one nanoelectromechanical memory switch (1C‐1N TCAM) is proposed for energy‐efficient, high‐reliability computations. Integrated with the back‐end‐of‐line process, the 1C‐1N TCAM leverages the air gap capacitance to achieve a high capacitance ratio and ternary functionality.
Jin Wook Lee +5 more
wiley +1 more source
This work presents a hybrid model for predicting the electrical characteristics of fin‐shaped field‐effect transistor devices and SRAM with line edge roughness. The model consists of a convolutional neural network (CNN) and an analytical model that simulates the electrical characteristics of transistors using the outputs of CNN, enabling fast and ...
Jaehyuk Lim +4 more
wiley +1 more source
Low Power and Energy‐Efficient Design of MTJ/FinFET Circuits
This work begins by outlining the fundamental concepts of MTJs, FinFETs, and the conventional hybrid CMOS/MTJ framework. It then explains the operating mechanism and configuration of the proposed STT‐MTJ/FinFET‐based OR logic gate. The final sections present the simulation outcomes and analyze the influence of FinFET fin variation.
Pillem Ramesh, Atul S. M. Tripathi
wiley +1 more source
Impacts of Local Oxide Trapped Charge on Electrical and Capacitance Characteristics of SOI FinFet
In this work, the influence of the local oxide trapped charge on the transfer Id-Vg characteristics and capacitance of the gatetoI. INTRODUCTION source (drain) connection of the silicon-on-insulator (SOI) structure-based FinFET is simulated.
Atabek Atamuratov +5 more
doaj +1 more source
Ultrathin Hafnium‐Based Ferroelectric Devices for In‐Memory Computing Applications
Hafnium‐based ferroelectric devices exhibit advantages in nonvolatile storage, low power consumption, and ultrahigh operation speed, positioning them as strong candidates for constructing hardware neural networks. ABSTRACT The discovery of ferroelectricity in HfO2‐based ferroelectrics at the ultrathin scale has reignited enthusiasm for ferroelectric ...
Chenghong Mo +3 more
wiley +1 more source
Utilizing MRAMs With Low Resistance and Limited Dynamic Range for Efficient MAC Accelerator
The recent advancements in data mining, machine learning algorithms and cognitive systems have necessitated the development of neuromorphic processing engines which may enable resource and computationally intensive applications on the internet-of-Things (
Sateesh +2 more
doaj +1 more source
Design of 3C-SiC/Si vertical MOSFET [PDF]
Metal-Oxide-Semiconductor Field Effect transistor (MOSFET) has undergone scaling to improve performance, and it is presently at the sub-100nm technology node.
Reddy Veesam, Vamshi Vardhan
core +1 more source
A neuromorphic computing platform using spin‐orbit torque‐controlled magnetic textures is reported. The device implements bio‐inspired synaptic functions and achieves high performance in both pattern recognition (>93%) and combinatorial optimization (>95%), enabling unified processing of cognitive and optimization tasks.
Yifan Zhang +13 more
wiley +1 more source
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

