Results 71 to 80 of about 889 (227)

Ferroelectric Field Effect Transistors–Based Content‐Addressable Storage‐Class Memory: A Study on the Impact of Device Variation and High‐Temperature Compatibility

open access: yesAdvanced Intelligent Systems
Hafnium oxide (HfO2)‐based ferroelectric field effect transistors (FeFETs) revolutionize the emerging nonvolatile memory area, especially with the potential to replace flash memories for several applications.
Athira Sunil   +10 more
doaj   +1 more source

Memory Window and Endurance Improvement of Hf0.5Zr0.5O2-Based FeFETs with ZrO2 Seed Layers Characterized by Fast Voltage Pulse Measurements

open access: yesNanoscale Research Letters, 2019
The HfO2-based ferroelectric field effect transistor (FeFET) with a metal/ferroelectric/insulator/semiconductor (MFIS) gate stack is currently being considered as a possible candidate for high-density and fast write speed non-volatile memory.
Wenwu Xiao   +9 more
doaj   +1 more source

Crystallized Domain Walls in HfO2 Enable Chessboard‐Type Ultra‐High‐Dense Ferroelectric Memory

open access: yesAdvanced Science, EarlyView.
In general, DWs in ferroelectrics stabilize within a widely spread transition region between two oppositely polarized domains, which severely limits the achievable memory density. Here, the reported DWs in HfO2 constitute perfect crystalline structures along arbitrary crystallographic directions, enabling the formation of the narrowest square‐shaped ...
Pawan Kumar   +4 more
wiley   +1 more source

Evolution of Materials and Device Stacks for HfO2‐Based Ferroelectric Memories

open access: yesAdvanced Materials Interfaces
The discovery of ferroelectricity in HfO2 offering the advantage of nonvolatile polarization switching creates a renewed interest in the semiconductor memory industry.
Eunjin Kim, Jiyong Woo
doaj   +1 more source

Embedding hafnium oxide based FeFETs in the memory landscape

open access: yes2018 International Conference on IC Design & Technology (ICICDT), 2018
During the last decade ferroelectrics based on doped hafnium oxide emerged as promising candidates for realization of ultra-low-power non-volatile memories. Two spontaneous polarization states occurring in the material that can be altered by applying electrical fields rather than forcing a current through and the materials compatibility to CMOS ...
Stefan Slesazeck   +2 more
openaire   +3 more sources

Tuning Polarity in WSe2/AlScN FeFETs via Contact Engineering

open access: yes
Recent advancements in ferroelectric field-effect transistors (FeFETs) using two-dimensional (2D) semiconductor channels and ferroelectric Al0.68Sc0.32N (AlScN) allow high-performance nonvolatile devices with exceptional ON-state currents, large ON/OFF ...
Eric A. Stach (1269663)   +12 more
core   +1 more source

Low-Thermal-Budget Ferroelectric Field-Effect Transistors Based on CuInP2S6 and InZnO

open access: yes, 2023
In this paper, we demonstrate low-thermal-budget ferroelectric field-effect transistors (FeFETs) based on the two-dimensional ferroelectric CuInP2S6 (CIPS) and oxide semiconductor InZnO (IZO).
Kyusang Lee (2573419)   +7 more
core   +1 more source

Modeling of FEOL and BEOL Amorphous Gallium Oxide-Based Ferroelectric FETs With a Metal Interlayer for Multilevel Operation in Short Channel Devices

open access: yesIEEE Journal of the Electron Devices Society
Ferroelectric field effect transistors (FeFETs) are among the most promising candidates for the implementation of artificial synapses for neuromorphic computing.
Chiara Rossi   +5 more
doaj   +1 more source

Robust and Compatible Ferroelectric Memories with Polycrystalline TiO2 Channel for 3D Integration

open access: yesAdvanced Electronic Materials, EarlyView.
Robust and monolithic 3D compatible ferroelectric memories are realized using the polycrystalline TiO2 channel‐based FeFET. The review covers physical mechanisms of the TiO2 channel FeFET, quantitative benchmarking, and advanced planar/vertical architectures for monolithic 3D integration based on HfO2‐TiO2 gate stack, offering a roadmap for reliable ...
Xujin Song   +10 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

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