Synaptic devices based on silicon carbide for neuromorphic computing

Journal of Semiconductors, Journal Year: 2025, Volume and Issue: 46(2), P. 021403 - 021403

Published: Feb. 1, 2025

Abstract To address the increasing demand for massive data storage and processing, brain-inspired neuromorphic computing systems based on artificial synaptic devices have been actively developed in recent years. Among various materials investigated fabrication of devices, silicon carbide (SiC) has emerged as a preferred choices due to its high electron mobility, superior thermal conductivity, excellent stability, which exhibits promising potential applications harsh environments. In this review, progress SiC-based is summarized. Firstly, an in-depth discussion conducted regarding categories, working mechanisms, structural designs these devices. Subsequently, several application scenarios are presented. Finally, few perspectives directions their future development outlined.

Language: Английский

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Self‐Powered Artificial Neuron Devices: Towards the All‐In‐One Perception and Computation System

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

Published: Feb. 18, 2025

Abstract The increasing demand for energy supply in sensing units and the computational efficiency of computation has prompted researchers to explore novel, integrated technology that offers high low consumption. Self‐powered enables environmental perception without external sources, while neuromorphic provides energy‐efficient high‐performance computing capabilities. integration self‐powered presents a promising solution an all‐in‐one system. This review examines recent developments advancements artificial neuron devices based on triboelectric, piezoelectric, photoelectric effects, focusing their structures, mechanisms, functions. Furthermore, it compares electrical characteristics various types discusses effective methods enhancing performance. Additionally, this comprehensive summary systems, encompassing tactile, visual, auditory systems. Moreover, elucidates recently systems combine perception, computing, actuation into configurations, aspiring realize closed‐loop control. seamless holds significant potential shaping more intelligent future humanity.

Language: Английский

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A Biodegradable, Stretchable, Healable, and Self‐Powered Optoelectronic Synapse Based on Ionic Gelatins for Neuromorphic Vision System

Small, Journal Year: 2024, Volume and Issue: 20(44)

Published: July 4, 2024

Optoelectronic synapses have gained increasing attentions as a fundamental building block in the development of neuromorphic visual systems. However, it remains challenge to integrate multiple functions into single optoelectronic synapse that can be widely applied wearable artificial intelligence and implantable vision In this study, stretchable based on biodegradable ionic gelatin heterojunction is successfully developed. This device exhibits self-powered synaptic plasticity behavior with broad spectral response excellent elastic properties, yet degrades rapidly upon disposal. After complete cleavage, fully repaired within 1 min, which mainly attributed non-covalent interactions between different molecular chains. Moreover, recovery reprocessing gelatins result properties are virtually indistinguishable from their original state, showcasing resilience durability gelatins. The combination biodegradability, stretchability, self-healing, zero-power consumption, ease large-scale preparation, low cost makes work major step forward synapses.

Language: Английский

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1D/2D Heterostructures: Synthesis and Application in Photodetectors and Sensors

Nanomaterials, Journal Year: 2024, Volume and Issue: 14(21), P. 1724 - 1724

Published: Oct. 29, 2024

Two-dimensional (2D) semiconductor components have excellent physical attributes, such as mechanical ductility, high mobility, low dielectric constant, and tunable bandgap, which attracted much attention to the fields of flexible devices, optoelectronic conversion, microelectronic devices. Additionally, one-dimensional (1D) materials with unique surface area potency, show great potential in many applications. However, isolated 1D 2D often do not meet demand for multifunctionality. Therefore, more functionality is achieved by reconstructing new composite structures from materials, according current study, it has been demonstrated that hybrid dimensional integration yields a significant enhancement performance functionality, widely promising field constructing novel electronic nanodevices. In this review, we first briefly introduce preparation methods 1D/2D heterostructures, well their advantages limitations. The applications heterostructures photodetectors, gas sensors, pressure strain photoelectrical synapses biosensors are then discussed, along opportunities challenges Finally, outlook emerging heterojunction given.

Language: Английский

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Dynamic NiOx-based memristors for edge computing

Chinese Journal of Physics, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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Recent progress in brain-like chips based on optoelectronic memory: Structures, mechanisms, and prospects

Applied Physics Reviews, Journal Year: 2025, Volume and Issue: 12(2)

Published: June 1, 2025

Optoelectronic brain-like devices have been widely investigated in recent years and are considered a new generation of hardware platforms for neuromorphic computing. Inspired by the biological visual perception system, integrate sensing, computing, memory single functional unit. Compared with electronically controlled memristor, introduction optical signals can further improve computational efficiency physically sensing unit processing This efficient intelligent information method effectively overcome bottleneck traditional computing under von Neumann architecture. However, development optoelectronic is still preliminary stage, its mechanism complex not uniform. Therefore, it necessary to deeply understand quantum process between input electrical output provide better reference this field. article aims comprehensively review latest progress devices, summarizing device performance structures. It also provides comprehensive summary multiple mechanisms different material systems, such as direct photoelectric conversion or triggering subsequent effects. In addition, variety potential application scenarios introduced. Finally, we present some possible problems help researchers whole picture devices.

Language: Английский

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High-temperature-resistant synaptic transistors for neuromorphic computing

Cell Reports Physical Science, Journal Year: 2024, Volume and Issue: 5(7), P. 102079 - 102079

Published: July 1, 2024

SummaryNeuromorphic computing systems based on high-temperature-resistant synaptic devices have emerged as energy-efficient and intelligent strategies for harsh-environment applications, such fire alarms, nuclear combustion monitoring, planetary exploration. The can be constructed by two-terminal memristors or three-terminal field-effect transistors. Though the latter exhibits a relatively complex structure, they are advantageous linear conductance switching, multi-terminal modulation, emulation of versatile functionalities. Herein, we will summarize recent progress transistors (HTRSTs). Firstly, an in-depth discussion is conducted regarding their working mechanisms, device structures, temperature-dependent characteristics. Then, overview active materials commonly employed in HTRSTs provided. Several application scenarios neuromorphic presented. Finally, few perspectives directions future development outlined.Graphical abstract

Language: Английский

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