Results 91 to 100 of about 4,407 (266)

Energy-Efficient Neuromorphic Architectures for Nuclear Radiation Detection Applications

open access: yesSensors
A comprehensive analysis and simulation of two memristor-based neuromorphic architectures for nuclear radiation detection is presented. Both scalable architectures retrofit a locally competitive algorithm to solve overcomplete sparse approximation ...
Jorge I. Canales-Verdial   +14 more
doaj   +1 more source

Scalable Crackle‐Lithography for Multifunctional Enclosed Plastic Nanofluidic Devices

open access: yesAdvanced Science, EarlyView.
Crackle‐lithography enables scalable fabrication of enclosed plastic‐substrate‐based nanofluidic devices with interconnected nanochannels that enable molecular transport, optical interrogation, confined electroless copper deposition, and ionic memristive behavior.
Tirumala Rao Dumpala   +8 more
wiley   +1 more source

Optically Tunable Threshold Switching and Thermally Activated Transport in Planar Ag/MAPbI3 Thin Single‐Crystal Devices

open access: yesAdvanced Science, EarlyView.
Planar Ag/MAPbI3 thin single‐crystal halide perovskite devices show ultralow dark current and optically tunable threshold switching. Illumination enhances the polarity‐dependent hysteresis and shifts the switching voltage, whereas temperature‐dependent measurements reveal thermally activated, contact‐limited transport, underscoring the central role of ...
Ofelia Durante   +16 more
wiley   +1 more source

RRAM Variability Harvesting for CIM‐Integrated TRNG

open access: yesAdvanced Electronic Materials, EarlyView.
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende   +4 more
wiley   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

open access: yesAdvanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Exfoliated‐MoS2 Gradual Resistive Switching Devices as Artificial Synapses

open access: yesAdvanced Electronic Materials, EarlyView.
A vertical memristor based on untreated, exfoliated MoS2 is presented, revealing gradual resistive switching governed by Schottky barrier modulation at the MoS2/metal interface from the trapping/detrapping of charges. Furthermore, the device emulates synaptic‐like plasticity functions, including: potentiation, depression, and spike‐amplitude‐dependent ...
Deianira Fejzaj   +3 more
wiley   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

open access: yesAdvanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos   +4 more
wiley   +1 more source

Twisted MoS2 Bilayers as Functional Elements in Memtransistors: Hysteresis, Optical Signatures, and Photocurrent Kinetics

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Layered 2D materials are considered as promising for memristive applications due to their ultimate vertical scalability compared to conventional semiconductor films and pronounced hysteresis properties. Bias‐resolved Raman and Photoluminescence mapping is used to quantify strain from phonon shifts and carrier density from the exciton‐trion ...
Vladislav Kurtash   +4 more
wiley   +1 more source

Low-voltage-driven memristor framework for efficient neuromorphic computation with STDP functionality

open access: yesFrontiers in Nanotechnology
In this work, a low-voltage-driven theoretical memristor framework is presented with its in-depth parametric evaluation and its neuromorphic computing functionalities, including spike-time dependent plasticity (STDP) via Hebbian learning rules.
Aarti Dahiya   +3 more
doaj   +1 more source

Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors

open access: yesAdvanced Electronic Materials, EarlyView.
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy