Results 81 to 90 of about 16,097 (194)

Ferroelectric Properties of Polyvinylidene Fluoride (PVDF): Advances and Prospects for Emerging Applications

open access: yesMacromolecular Chemistry and Physics, Volume 227, Issue 2, 29 January 2026.
This review surveys how PVDF's ferroelectric behavior emerges from structure, processing, and phase engineering, and how it translates into memory, neuromorphic, and sensing technologies. Performance is benchmarked against leading inorganic ferroelectrics, while composites and hybrid systems are discussed as routes to improved endurance and ...
Achidi Frick   +3 more
wiley   +1 more source

Energy‐Efficient Approximate Full Adders Applying Memristive Serial IMPLY Logic for Image Processing

open access: yesJournal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
Researchers and designers are facing problems with memory and power walls, considering the pervasiveness of Von Neumann architecture in the design of processors and the problems caused by reducing the dimensions of deep submicron transistors. Memristive Approximate Computing (AC) and In‐MemoryProcessing (IMP) can be promising solutions to these ...
Seyed Erfan Fatemieh   +2 more
wiley   +1 more source

Systematic Analysis of Spacer and Gate Length Scaling on Memory Characteristics in 3D NAND Flash Memory

open access: yesApplied Sciences
This study investigates the impact of oxide/nitride (ON) pitch scaling on the memory performance of 3D NAND flash memory. We aim to enhance 3D NAND flash memory by systematically reducing the spacer length (Ls) and gate length (Lg) to achieve improved ...
Hee Young Bae   +2 more
doaj   +1 more source

NAND Flash Based Novel Synaptic Architecture for Highly Robust and High-Density Quantized Neural Networks With Binary Neuron Activation of (1, 0)

open access: yesIEEE Access, 2020
We propose a novel synaptic architecture based on a NAND flash memory for highly robust and high-density quantized neural networks (QNN) with 4-bit weight and binary neuron activation, for the first time.
Sung-Tae Lee   +4 more
doaj   +1 more source

A Cache Management Strategy to Replace Wear Leveling Techniques for Embedded Flash Memory

open access: yes, 2011
Prices of NAND flash memories are falling drastically due to market growth and fabrication process mastering while research efforts from a technological point of view in terms of endurance and density are very active. NAND flash memories are becoming the
Boukhobza, Jalil   +2 more
core   +1 more source

iPhone forensics methodology and tools [PDF]

open access: yes, 2008
iPhone mobile devices are rapidly overtaking the new generation of mobile phones market, especially among the young generation. It is also gaining a lot of popularity among security specialists and fancy gadgets for collectors.
Al-Hajri, Haitham, Sansurooah, Krishnun
core   +1 more source

Toward a Unified Performance and Power Consumption NAND Flash Memory Model of Embedded and Solid State Secondary Storage Systems

open access: yes, 2013
This paper presents a set of models dedicated to describe a flash storage subsystem structure, functions, performance and power consumption behaviors. These models cover a large range of today's NAND flash memory applications.
Boukhobza, Jalil   +2 more
core   +1 more source

On the use of NAND flash memory in high-performance relational databases [PDF]

open access: yes, 2008
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.Includes bibliographical references (p.
Myers, Daniel (Daniel Sumers)
core  

NAND Flash Memory Characterization

open access: yes, 2019
The NAND technology has become a popular research area and implementation choice due to its non-volatile flash memory characteristics. There are many engineering challenges when it comes to NAND technology. Some of the limiting factors are reducing the transistor width and increasing read and write performance. The device physics for NAND floating gate
openaire   +1 more source

Self-Organizing Mapping Neural Network Implementation Based on 3-D NAND Flash for Competitive Learning

open access: yesIEEE Journal of the Electron Devices Society
Self-organizing Map (SOM) neural network is a prominent algorithm in unsupervised machine learning, which is widely used for data clustering, high-dimensional visualization, and feature extraction.
Anyi Zhu   +4 more
doaj   +1 more source

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