Results 111 to 120 of about 13,015 (262)

Electrochemical anodic oxidation assisted fabrication of memristors

open access: yesInternational Journal of Extreme Manufacturing
Owing to the advantages of simple structure, low power consumption and high-density integration, memristors or memristive devices are attracting increasing attention in the fields such as next generation non-volatile memories, neuromorphic computation ...
Shuai-Bin Hua, Tian Jin, Xin Guo
doaj   +1 more source

Low Power Optoelectronic Neuromorphic Memristor for In‐Sensor Computing and Multilevel Hardware Security Communications

open access: yesAdvanced Science, EarlyView.
ABSTRACT Conventional software‐based encryption faces mounting limitations in power efficiency and security, inspiring the development of emerging neuromorphic computing hardware encryption. This study presents a hardware‐level multi‐dimensional encryption paradigm utilizing optoelectronic neuromorphic devices with low energy consumption of 3.3 fJ ...
Bo Sun   +3 more
wiley   +1 more source

Physical Implementation of Optical Material‐Based Neural Networks Processing Enabled by Long‐Persistent Luminescence

open access: yesAdvanced Science, EarlyView.
This study reports on the physical implementation of optical material‐based neural processing using long‐persistent luminescence as memory‐retention and nonlinear optical material. The system performs optical‐domain preprocessing with opto‐electronic interfaces for stimulus delivery and readout, enabling real‐time demonstrations including Pong gameplay
Sangwon Wi, Yunsang Lee
wiley   +1 more source

Tunable stochastic memristors for energy-efficient encryption and computing

open access: yesNature Communications
Information security and computing, two critical technological challenges for post-digital computation, pose opposing requirements – security (encryption) requires a source of unpredictability, while computing generally requires predictability.
Kyung Seok Woo   +6 more
doaj   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

open access: yesAdvanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen   +9 more
wiley   +1 more source

Model‐Inversion‐Resistant Physical Unclonable Neural Network Using Vertical NAND Flash Memory

open access: yesAdvanced Science, EarlyView.
Schematic and key features of the proposed forward‐forward physical unclonable neural network (FF‐PUNN), incorporating a concealable physical unclonable function (PUF) layer and forward‐forward (FF) learning. ABSTRACT The growing use of neural networks in privacy‐sensitive applications necessitates architectures that inherently protect both data and ...
Sung‐Ho Park   +8 more
wiley   +1 more source

Optoelectronic‐Driven van der Waals Ferroelectric Materials‐Based Memory Devices for Retinomorphic and In‐Sensory Hardware

open access: yesAdvanced Science, EarlyView.
2D ferroelectrics materials enabling non‐volatile polarization memory, optical excitability, and neuromorphic processing within a unified material and provides a mechanistic analysis of polarization‐induced band modulation, including photon‐assisted domain reorientation, switching kinetics, and interfacial dipole coupling that governs resistive ...
Parthasarathi Pal   +3 more
wiley   +1 more source

memristor

open access: yes
Citation: 'memristor' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.08840 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

Research on Resistive Switching Mechanism of SnO2/SnS2 Based Heterojunction Memory Devices

open access: yesAdvanced Electronic Materials, EarlyView.
This work fabricates SnO2/SnS2 RRAM using (NH4)4Sn2S6, achieving 224 pJ set energy at 0.4 V with >1000‐cycle stability and 4 × 104 s retention. XPS/SEM/AFM‐validated interfacial engineering enables uniform switching, advancing low‐power neuromorphic memory development.
WenBin Liu   +4 more
wiley   +1 more source

Effects of AlOx Sub‐Oxide Layer on Conductance Training of Passive Memristor for Neuromorphic Computing

open access: yesAdvanced Electronic Materials
Memristors are recognized as crucial devices for the hardware implementation of neuromorphic computing. The conductance training process of memristors has a direct impact on the performance of neuromorphic computing.
Qin Xie   +8 more
doaj   +1 more source

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