Results 71 to 80 of about 267 (149)

Variation Tolerant and Energy-Efficient Charge Domain Compute-in-Memory Array with Binary and Multi-Level Cell Ferroelectric FET

open access: yes
In this work, we present a variation-tolerant and energy-efficient charge-domain Ferroelectric FET (FeFET) based Compute-in-Memory (CiM) array design that is compatible with both binary and multi-level cell memory sensing.
Niemier, Michael Thaddeus   +11 more
core   +1 more source

Analysis of the Measurement and Modeling of a Digital Inverter Based on a Ferroelectric Transistor

open access: yes, 2009
The use of ferroelectric materials for digital memory devices is widely researched and implemented, but ferroelectric devices also possess unique characteristics that make them have interesting and useful properties in digital circuits.
Phillips, Thomas A.   +3 more
core  

FeFET-Based Analog In-Memory Computing with Inherent Shift-and-Add Capability

open access: yes
In-memory computing (IMC) architecture has emerged as a highly promising approach, enhancing the energy efficiency of multiply-and-accumulate (MAC) operations in deep neural networks (DNNs) by embedding parallel computations directly into memory arrays ...
Yang, Zeyu   +9 more
core   +1 more source

New DG FeFET architecture with enhanced SS and non-hysteretic behaviour

open access: yes, 2019
In this paper we present a simulation study of a novel Double-Gate (DG) Ferroelectric FET (Fe-FET) architecture, exhibiting a subthreshold swing well below 60 m V/dee with a hysteresis-free behavior.
S. Reggiani   +7 more
core   +1 more source

Monolithically Integrated Complementary Ferroelectric FET XNOR Synapse for the Binary Neural Network

open access: yes
Neuromorphic computing, which mimics the structure and principles of the human brain, has the potential to facilitate the hardware implementation of next-generation artificial intelligence systems and process large amounts of data with very low power ...
Chaeheon Kim (13805832)   +4 more
core   +1 more source

강유전체 기반 FET을 활용한 뉴런 소자 및 뉴로모픽 어플리케이션

open access: yes, 2023
학위논문(박사) - 한국과학기술원 : 전기및전자공학부, 2023.8,[ix, 94 p. :]This dissertation aims to suggest a device structure that can improve the area efficiency of ferroelectric device-based neuron devices and to find a suitable neuromorphic application.
이규섭, Lee, Gyusoup
core  

Energy Efficient Dual Designs of FeFET-Based Analog In-Memory Computing with Inherent Shift-Add Capability

open access: yes
In-memory computing (IMC) architecture emerges as a promising paradigm, improving the energy efficiency of multiply-and-accumulate (MAC) operations within deep neural networks (DNNs) by integrating the parallel computations within the memory arrays ...
Yang, Zeyu   +5 more
core   +1 more source

Design of Physically Unclonable Function Using Ferroelectric FET With Auto Write-Back Technique for Resource-Limited IoT Security

open access: yes
Physically unclonable function (PUF) is a lightweight encryption technique that generates random digital keys (responses) using intrinsic process variations of devices, which is a promising solution for Internet of Things (IoT) security due to its ...
Oh, Tae Woo   +6 more
core   +1 more source

In-Situ Encrypted NAND FeFET Array for Secure Storage and Compute-in-Memory

open access: yes
In this work, we present a lightweight in-situ encryption/decryption technique for high-density NAND memory, aiming to meet the growing need for data privacy and security in storage and computing applications.
Hsu, Pokai   +17 more
core   +1 more source

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