MXene‐Based Flexible Memory and Neuromorphic Devices

Small, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

As the age of Internet Things (IoTs) unfolds, along with rapid advancement artificial intelligence (AI), traditional von Neumann-based computing systems encounter significant challenges in handling vast amounts data storage and processing. Bioinspired neuromorphic strategies offer a promising solution, characterized by features in-memory computing, massively parallel processing, event-driven operations. Compared to rigid silicon-based devices, flexible devices are lightweight, thin, highly stretchable, garnering considerable attention. Among materials utilized these transition metal carbides/nitrides (MXenes) particularly noteworthy their excellent flexibility, exceptional conductivity, hydrophilicity, which confer remarkable properties upon devices. Herein, comprehensive discussion is provided on applications MXenes memory This review covers basic principles device structures common parameters emerging as well synthesis, functionalization methods, distinct MXenes. The remaining future opportunities relevant also presented. can serve valuable reference lay cornerstone for practical feasible implementation technologies.

Language: Английский

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Diameter Dependent Synaptic Behaviors of III-V Nanowires for Neuromorphic Image Denoising

Materials Today Electronics, Journal Year: 2025, Volume and Issue: unknown, P. 100148 - 100148

Published: March 1, 2025

Language: Английский

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Two-dimensional MXene-based devices for information technology

Materials Science and Engineering R Reports, Journal Year: 2024, Volume and Issue: 163, P. 100894 - 100894

Published: Dec. 2, 2024

Language: Английский

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Emerging 2D Material‐Based Synaptic Devices: Principles, Mechanisms, Improvements, and Applications

SmartMat, Journal Year: 2025, Volume and Issue: 6(2)

Published: April 1, 2025

ABSTRACT The von Neumann architecture is encountering challenges, including the “memory wall” and “power due to separation of memory central processing units, which imposes a major hurdle on today's massive data processing. Neuromorphic computing, combines storage spatiotemporal computation at hardware level, represents computing paradigm that surpasses traditional architecture. Artificial synapses are basic building blocks artificial neural networks capable neuromorphic require high on/off ratio, durability, low nonlinearity, multiple conductance states. Recently, two‐dimensional (2D) materials their heterojunctions have emerged as nanoscale development platform for synaptic devices intrinsic surface‐to‐volume ratios sensitivity charge transfer interfaces. Here, latest progress 2D material‐based reviewed regarding biomimetic principles, physical mechanisms, optimization methods, application scenarios. In particular, there focus how improve resistive switching characteristics plasticity meet actual needs. Finally, key technical challenges future paths also explored.

Language: Английский

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Ultralow‐Power Highly‐Selective Near‐Infrared (≈850 nm) Carbon Nanotube Flexible Optoelectronic Synaptic Transistors for Real‐Time Trajectory Tracking

Small, Journal Year: 2025, Volume and Issue: unknown

Published: April 8, 2025

Abstract Optoelectronic synaptic devices are promising candidate components for brain‐like efficient neuromorphic computing systems. The development of highly‐selective near‐infrared (NIR) optoelectronic is important realizing more optical computing, night monitoring, and robot visual perception. In this work, ultralow‐power (56 aJ per light pulse), NIR (≈850 nm) transistor based on carbon nanotube thin film transistors developed by modification the organic photosensitive material in device channels. showed high sensitivity selectivity to 850 nm pulse light. It noted that response currents after stimulation a single can be nearly six times higher than those stimulated UV light, which attributed IHIC has low bandgap, strong absorption, ideal energy band alignment with nanotubes. Under pulsed stimulation, range complex functions exhibited, including excitatory postsynaptic currents, paired‐pulse facilitation, transition from short‐term plasticity long‐term plasticity, spike‐timing‐dependent image perception memory functions. Significantly, real‐time trajectory tracking car drone under nighttime conditions successfully simulated using array.

Language: Английский

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An Ultrathin Optoelectronic Memristor with Dual‐Functional Photodetector and Optical Synapse Behaviors for Neuromorphic Vision

Advanced Electronic Materials, Journal Year: 2025, Volume and Issue: unknown

Published: May 6, 2025

Abstract Integrating multiple functions within a neuromorphic device is essential for simplifying circuit design in compact artificial vision applications. At the same time, there constant push to reduce size of devices improve integration. Nevertheless, decreasing thickness active layer compromises photoelectric performance, affecting stability, uniformity, endurance, and photosensitivity. An optoelectronic memristor featuring an ultrathin AlO x /TiO y periodic heterostructure proposed. This minimizes without compromising properties enables multifunctionality as photodetector, electric synapse, optical synapse single device. The successfully prepared by atomic deposition with only ≈12 nm. synaptic behaviors, which are computing. Notably, dual‐functional photodetector facilitate efficient acquisition processing visual information following specific application scenarios. It attention simulation energy‐efficient object detection. Finally, complete system demonstrated, encompassing sensing, front‐end preprocessing, back‐end Based on proposed system, six‐layer convolutional neural network built recognize EMNIST patterns, preprocessing improves recognition accuracy from 64% 78%.

Language: Английский

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Organic Synaptic Transistors and Printed Circuit Board Defect Inspection with Photonic Stimulation: A Novel Approach Using Oblique Angle Deposition

Small, Journal Year: 2025, Volume and Issue: unknown

Published: May 7, 2025

Abstract This study introduces a photonic stimulation‐based synaptic transistor utilizing oblique angle deposition (OAD) of dinaphtho[2,3‐b:2′,3′‐f]thieno[3,2‐b]thiophene (DNTT). While OAD enables advanced nanostructures, its application to organic materials remains largely unexplored. Here, the electrical characteristics and photoinduced trap behavior obliquely deposited DNTT transistors are systematically investigated, successfully replicating key functions. OAD‐controlled grain size spacing in channel yield distinct performance metrics compared conventional devices. The introduced regions enable stable across diverse gate voltage ( V G ) conditions. By adjusting presynaptic pulse intensity, duration, repetition, robust transition is achieved long‐term memory (LTM). device further demonstrates reliable optoelectronic operation over 52 durability cycles. Concurrent stimulation parallel potentiation‐depression dynamics, enhancing processing speed performance, highlighting promise for next‐generation neuromorphic computing. Its also showed printed circuit board (PCB) defect inspection, mimicking biological synapses under simultaneous stimulation.

Language: Английский

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Recent Developments on Novel 2D Materials for Emerging Neuromorphic Computing Devices

Small Structures, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 8, 2024

The rapid advancement of artificial intelligent and information technology has led to a critical need for extremely low power consumption excellent efficiency. capacity neuromorphic computing handle large amounts data with garnered lot interest during the last few decades. For applications, 2D layered semiconductor materials have shown pivotal role due their distinctive properties. This comprehensive review provides an extensive study recent advancements in materials‐based devices especially multiterminal synaptic devices, two‐terminal neuronal integration devices. Herein, wide range potential applications memory, computation, adaptation, intelligence is incorporated. Finally, limitations challenges based on novel are discussed. Thus, this aims illuminate design fabrication van der Waals (vdW) heterostructure materials, leveraging promising engineering techniques excel hardware implementations.

Language: Английский

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Application of flexible thin film transistor in synaptic devices

Surfaces and Interfaces, Journal Year: 2024, Volume and Issue: unknown, P. 105515 - 105515

Published: Nov. 1, 2024

Language: Английский

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Flexible ionic‐gel synapse devices and their applications in neuromorphic system

FlexMat., Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

Abstract Biological neural systems, composed of neurons and synaptic networks, exhibit exceptional capabilities in signal transmission, processing, integration. Inspired by the mechanisms these researchers have been dedicated to developing artificial systems based on flexible devices that effectively mimic functions biological synapses, providing hardware support for advancement intelligence. In recent years, ionic gels, known their high conductivity intuitive mimicry, utilized development ionic‐gel synapses (IGSs). They are considered ideal materials next wearable generation neuromorphic systems. This review introduces IGS summarizes progress IGS‐based Additionally, key challenges future prospects related IGSs outlined, potential suggestions provided.

Language: Английский

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