Results 51 to 60 of about 1,894,725 (194)
Secondary Particles Generated by Protons in 3D NAND Flash Memories
, 2022 We studied the secondary byproducts created by high-energy protons inside an SEU detector based on 3D NAND Flash memories, extending the previously developed methodology used for detecting heavy ions.
Gerardin S. +17 more
core +1 more source
Analysis of High-Temperature Data Retention in 3D Floating-Gate nand Flash Memory Arrays
IEEE Journal of the Electron Devices Society, 2023 In this paper, we present a detailed experimental investigation of high-temperature data retention in 3D floating-gate NAND Flash memory arrays. Data reveal that charge detrapping from the cell tunnel oxide and depassivation of traps in the string ...
Gerardo Malavena +4 more
doaj +1 more source
3D NAND-технология для изготовления flash-памяти [PDF]
, 2019 В работе приведен краткий обзор процесса развития микроэлектроники, рассмотрены возможности и перспективы использования 3D NAND-технологии для изготовления flash -памяти и других средств электронной и вычислительной ...
Котов, Е. Г.
core +1 more source
Charge Loss Induced by Defects of Transition Layer in Charge-Trap 3D NAND Flash Memory
IEEE Access, 2021 In charge-trap (CT) three-dimensional (3D) NAND flash memory, the transition layer between Si3N4 CT layer and SiO2 tunneling layer is inevitable, and the defects in the transition layer are expected to cause both lateral and vertical charge loss.
Fei Wang +3 more
doaj +1 more source
A Behavioral Compact Model of 3D NAND Flash Memory
CoRR, 2018 We present a behavioral compact model of 3D NAND flash memory for integrated circuits and system-level applications. This model is easy to implement, computationally efficient, fast, accurate and effectively accounts for the different parasitic capacitance coupling effects applicable to the 3D geometry of the vertical channel Macaroni body charge-trap ...
Shubham Sahay, Dmitri B. Strukov
openaire +2 more sources
Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health
Advanced Materials, EarlyView.This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim +4 more
wiley +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Advanced Science, EarlyView.Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Advanced Science, EarlyView.A dual‐randomness hardware platform is demonstrated by integrating PUF and TRNG functionalities into mixed‐ZGO nanoclusters. By leveraging spatial and temporal stochasticity, the mixed‐ZGO NCs device enables both unique identification and random signal generation.
Seungme Kang +6 more
wiley +1 more source
Advanced Science, EarlyView.GeSbSe selector‐only memory devices are investigated through physical and electrical analyses to reveal opposite trap‐state evolution pathways governing reliability degradation. Endurance cycling drives Se migration, transitioning traps from deep to shallow states.
Byung Jun Lee +3 more
wiley +1 more source
IEEE Journal of the Electron Devices SocietySelf-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