Results 51 to 60 of about 5,453 (181)
In order to successfully achieve mass production in NAND flash memory, a novel test procedure has been proposed to electrically detect and screen the channel hole defects, such as Not-Open, Bowing, and Bending, which are unique in high-density 3D NAND ...
Beomjun Kim +2 more
doaj +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
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
Silicon Nitride Resistive Memories
Amorphous SiNx is an attractive resistance switching material for ReRAM applications due to its physicochemical properties, such as humidity resistance, low oxygen diffusivity, and is used as a metal diffusion blocker. By modifying the ratio between N and Si atoms, the microstructure of the SiNx is affected, rendering it possible to change the ...
Alexandros‐Eleftherios Mavropoulis +7 more
wiley +1 more source
Analysis of HBM Failure in 3D NAND Flash Memory
Electrostatic discharge (ESD) events are the main factors impacting the reliability of NAND Flash memory. The behavior of human body model (HBM) failure and the corresponding physical mechanism of 3D NAND Flash memory are investigated in this paper. A catastrophic burn-out failure during HBM zapping is first presented. Analysis shows that NMOS fingers’
Biruo Song +6 more
openaire +1 more source
Physics‐Based Compact Modeling of Advanced 3D Nanoscale Vertical NAND Flash Memory
For advanced 3D NAND flash memory, a unified compact model for SPICE is proposed that spans from the intrinsic unit cell to the full string and captures the electrostatic coupling with adjacent inhibit strings. It can successfully predict read behavior, program/erase dynamics, and interactions between neighboring cells, reflecting array‐level behavior ...
Ilho Myeong, Seonho Shin, Ickhyun Song
wiley +1 more source
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
Analysis and Comparation of SSD and HDD Technologies [PDF]
Import 22/07/2015Jedním z faktorů, který limituje efektivní činnost počítačové jednotky, je výkonnost její klíčové součásti – pevného disku (hardwaru). Proto se výzkum v oblasti informačních technologií soustřeďuje na problematiku kapacity, rychlosti a ...
Hansel, Lukáš
core
Hardware‐Based On‐Chip Learning Using a Ferroelectric AND‐Type Array With Random Synaptic Weights
This work demonstrates an energy‐efficient on‐chip learning system using an Metal‐Ferroelectric‐Insulator‐Semiconductor FeAND synaptic array. By employing a feedback alignment scheme with a separate backward array using fixed random weights, the system overcomes directional limitations of AND‐type arrays and achieves robust, low‐power learning suitable
Minsuk Song +8 more
wiley +1 more source
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
Keggin‐type Al‐POM‐coated silica achieves selective surface oxidation of amorphous carbon through electrostatic attraction and proton‐coupled oxidation, tailoring interfacial properties for lithium‐ion batteries and semiconductor processes. ABSTRACT Amorphous carbon is widely used in energy storage and semiconductor technologies, where surface ...
Ganggyu Lee +13 more
wiley +1 more source

