Results 41 to 50 of about 5,102 (147)

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Smart Electrical Screening Methodology for Channel Hole Defects of 3D Vertical NAND (VNAND) Flash Memory

open access: yesEng
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

Nonvolatile memory with molecule-engineered tunneling barriers

open access: yes, 2008
We report a novel field-sensitive tunneling barrier by embedding C60 in SiO2 for nonvolatile memory applications. C60 is a better choice than ultra-small nanocrystals due to its monodispersion.
Baik S. J.   +10 more
core   +1 more source

Dissolution Study of Biodegradable Magnesium Silicide Thin Films for Transient Electronic Applications

open access: yesAdvanced Science, EarlyView.
Magnesium silicide (Mg2Si) is introduced as a narrow‐bandgap, biodegradable semiconductor for transient electronics. RF‐sputtered and annealed Mg2Si thin films show high intrinsic electrical conductivity and low thermal conductivity. The polycrystalline material undergoes hydrolysis in aquatic and composting environments with minimal cytotoxicity ...
Ji‐Woo Gu   +17 more
wiley   +1 more source

Recent Progress and Opportunities in Oxide Semiconductor Devices for In‐Memory and Neuromorphic Computing

open access: yesAdvanced Electronic Materials, EarlyView.
This review surveys oxide‐semiconductor devices for in‐memory and neuromorphic computing, highlighting recent progress and remaining challenges in charge‐trap, ferroelectric, and two‐transistor devices. Oxide semiconductors, featuring ultra‐low leakage, low‐temperature processing, and back‐end‐of‐line compatibility, are explored for analog in‐memory ...
Suwon Seong   +4 more
wiley   +1 more source

Controlling the Carrier Injection Efficiency in 3D Nanocrystalline Silicon Floating Gate Memory by Novel Design of Control Layer

open access: yesNanomaterials, 2023
Three-dimensional NAND flash memory with high carrier injection efficiency has been of great interest to computing in memory for its stronger capability to deal with big data than that of conventional von Neumann architecture.
Hongsheng Hu   +8 more
doaj   +1 more source

Materials Design Principles for Large Memory Windows: Coercive Voltage Engineering in Ferroelectric– Dielectric Heterostructures

open access: yesAdvanced Electronic Materials, EarlyView.
Coercive voltage enhancement in hafnia‐based ferroelectric–dielectric heterostructures is shown to originate from leakage‐governed voltage division between the ferroelectric and dielectric layers. Through experiments, circuit modeling, and defect‐based simulations, a universal framework is established to engineer large memory windows without altering ...
Prasanna Venkatesan   +21 more
wiley   +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

Memristor MOS Content Addressable Memory (MCAM): Hybrid Architecture for Future High Performance Search Engines [PDF]

open access: yes, 2010
Large-capacity Content Addressable Memory (CAM) is a key element in a wide variety of applications. The inevitable complexities of scaling MOS transistors introduce a major challenge in the realization of such systems.
Derek Abbott   +6 more
core  

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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