28 nm HKMG-Based Current Limited FeFET Crossbar-Array for Inference Application
Author:
Affiliation:
1. Center Nanoelectronic Technologies, Fraunhofer IPMS, Dresden, Germany
2. Integration Engineering, GlobalFoundries, Dresden, Germany
Funder
European Union’s Electronic Components and Systems for European Leadership (ECSEL) Joint Undertaking
Project TEMPO and ANDANTE
German Bundesministerium für Wirtschaft
State of Saxony in the frame of the “Important Project of Common European Interest (IPCEI).”
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials
Link
http://xplorestaging.ieee.org/ielx7/16/9967813/09940199.pdf?arnumber=9940199
Reference29 articles.
1. READ-Optimized 28nm HKMG Multibit FeFET Synapses for Inference-Engine Applications
2. Ultra-low power robust 3bit/cell Hf0.5Zr0.5O2 ferroelectric finFET with high endurance for advanced computing-in-memory technology;de;Proc Symp VLSI Technol,2021
3. Robust Binary Neural Network Operation From 233 K to 398 K via Gate Stack and Bias Optimization of Ferroelectric FinFET Synapses
4. Low-power vertically stacked one time programmable multi-bit IGZO-based BEOL compatible ferroelectric TFT memory devices with lifelong retention for monolithic 3D-inference engine applications;de;Proc EAI Eur Solid-State Devices Circuits Conf,2022
5. Ferroelectric FET analog synapse for acceleration of deep neural network training
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