Emerging Artificial Synaptic Devices Based on Organic Semiconductors: Molecular Design, Structure and Applications DOI
Yunchao Xu, Yuan He, Dongyong Shan

et al.

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

In modern computing, the Von Neumann architecture faces challenges such as memory bottleneck, hindering efficient processing of large datasets and concurrent programs. Neuromorphic inspired by brain's architecture, emerges a promising alternative, offering unparalleled computational power while consuming less energy. Artificial synaptic devices play crucial role in this paradigm shift. Various material systems, from organic to inorganic, have been explored for neuromorphic devices, with materials attracting attention their excellent photoelectric properties, diverse choices, versatile preparation methods. Organic semiconductors, particular, offer advantages over transition-metal dichalcogenides, including ease flexibility, making them suitable large-area films. This review focuses on emerging artificial based discussing different branches within semiconductor system, various fabrication methods, device structure designs, applications synapse. Critical considerations achieving truly human-like dynamic perception systems semiconductors are also outlined, reflecting ongoing evolution computing.

Language: Английский

Development of Bio‐Voltage Operated Humidity‐Sensory Neurons Comprising Self‐Assembled Peptide Memristors DOI
Ziyu Lv,

Shirui Zhu,

Yan Wang

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(33)

Published: June 15, 2024

Biomimetic humidity sensors offer a low-power approach for respiratory monitoring in early lung-disease diagnosis. However, balancing miniaturization and energy efficiency remains challenging. This study addresses this issue by introducing bioinspired humidity-sensing neuron comprising self-assembled peptide nanowire (NW) memristor with unique proton-coupled ion transport. The proposed shows low Ag

Language: Английский

Citations

17
2D Materials‐Based Photodetectors with Bi‐Directional Responses in Enabling Intelligent Optical Sensing DOI Open Access
Jiayue Han, Wenjie Deng, Fangchen Hu

et al.

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

Published: Jan. 19, 2025

Abstract With the rapid advancement of 2D material‐based optoelectronic devices, significant progress is made in development all‐optical logic synaptic biomimetic and multidimensional detection systems. As entering to high‐speed information era, there an urgent demand for complex, compact, multifunctional, low‐energy, intelligent sensing chips. Examining evolution current technologies reveals a parallel bipolar response mechanisms‐from simple positive negative responses more intricate inhibition‐promotion dynamics with persistent characteristics. This significantly broadens their applications devices. Moreover, compared unipolar responses, complex offer greater flexibility adaptation unique one‐to‐one mapping high‐dimensional parameters such as polarization, phase, spectrum, positioning them promising candidates breakthroughs resolution. In this review, design strategies are comprehensively explored various materials, highlighting deep advanced fields. It aimed review provide broad overview bi‐directional mechanisms, offering inspiration designing next generation

Language: Английский

Citations

6
Modulating synaptic plasticity with metal−organic framework for information-filterable artificial retina DOI Creative Commons
Seongchan Kim,

Oh‐Chan Kwon,

Seonkwon Kim

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: Jan. 2, 2025

Language: Английский

Citations

2
Synaptic devices based on silicon carbide for neuromorphic computing DOI

B.J. Ye,

Xiao Liu, Chao Wu

et al.

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

Citations

2
Bio‐Inspired Sensory Receptors for Artificial‐Intelligence Perception DOI
Atanu Bag, Gargi Ghosh,

M. Junaid Sultan

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: unknown

Published: May 3, 2024

In the era of artificial intelligence (AI), there is a growing interest in replicating human sensory perception. Selective and sensitive bio-inspired receptors with synaptic plasticity have recently gained significant attention developing energy-efficient AI Various their applications perception are reviewed here. The critical challenges for future development outlined, emphasizing need innovative solutions to overcome hurdles sensor design, integration, scalability. can revolutionize various fields, including human-machine interaction, autonomous systems, medical diagnostics, environmental monitoring, industrial optimization, assistive technologies. As advancements sensing continue accelerate, promise creating more intelligent adaptive systems becomes increasingly attainable, marking step forward evolution human-like

Language: Английский

Citations

15
2D Ca2Nb3O10 Optoelectronic Neuromorphic Device for Ultrasensitive UV‐C Vision and Encrypted Communication DOI
Jiaxin Chen, Xinya Liu, Qingshan Zhu

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(38)

Published: April 9, 2024

Abstract Neuromorphic device that percepts ultraviolet (UV) radiations is essential for supplementing human visual perception. However, UV‐responsive synapses with high sensitivity and wavelength selectivity have not yet been developed so far. Herein, 2D optoelectronic are able to distinguish between UV‐A, UV‐,B UV‐C using a single material demonstrated. The use Ca 2 Nb 3 O 10 nanosheets wide bandgap persistent photoconductivity effect (PPC) as layer. devices can detect rays at ultralow intensity of 70 nW cm −2 , which the lowest record among UV synaptic devices. Moreover, such demonstrates image vision, recognition, memorization functions based on its diverse behaviors. atomically thin provide implications enhancing perception capabilities spectral selectivity, ultrahigh sensitivity, low‐energy consumption.

Language: Английский

Citations

12
A Near‐Infrared Retinomorphic Device with High Dimensionality Reservoir Expression DOI Creative Commons

Yan‐Bing Leng,

Ziyu Lv, Shengming Huang

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 10, 2024

Abstract Physical reservoir‐based reservoir computing (RC) systems for intelligent perception have recently gained attention because they require fewer resources. However, the system remains limited in infrared (IR) machine vision, including materials and physical expression power. Inspired by biological visual systems, study proposes a near‐infrared (NIR) retinomorphic device that simultaneously perceives encodes narrow IR spectral information (at ≈980 nm). The proposed device, featuring core‐shell upconversion nanoparticle/poly (3‐hexylthiophene) (P3HT) nanocomposite channels, enables absorption conversion of NIR into high‐energy photons to excite more photo carriers P3HT. photon‐electron‐coupled dynamics under synergy photovoltaic photogating effects influence nonlinearity high dimensionality RC narrow‐band irradiation. also exhibits multilevel data storage capability (≥8 levels), excellent stability (≥2000 s), durability (≥100 cycles). accurately identifies static dynamic handwritten digit images, achieving recognition accuracies 91.13% 90.07%, respectively. Thus, tackles intricate computations like solving second‐order nonlinear equations with minimal errors (normalized mean squared error 1.06 × 10⁻ 3 during prediction).

Language: Английский

Citations

12
Nanomaterials for Flexible Neuromorphics DOI

Guanglong Ding,

Hang Li,

Jiyu Zhao

et al.

Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(22), P. 12738 - 12843

Published: Nov. 5, 2024

The quest to imbue machines with intelligence akin that of humans, through the development adaptable neuromorphic devices and creation artificial neural systems, has long stood as a pivotal goal in both scientific inquiry industrial advancement. Recent advancements flexible electronics primarily rely on nanomaterials polymers owing their inherent uniformity, superior mechanical electrical capabilities, versatile functionalities. However, this field is still its nascent stage, necessitating continuous efforts materials innovation device/system design. Therefore, it imperative conduct an extensive comprehensive analysis summarize current progress. This review highlights applications neuromorphics, involving inorganic (zero-/one-/two-dimensional, heterostructure), carbon-based such carbon nanotubes (CNTs) graphene, polymers. Additionally, comparison summary structural compositions, design strategies, key performance, significant these are provided. Furthermore, challenges future directions pertaining materials/devices/systems associated neuromorphics also addressed. aim shed light rapidly growing attract experts from diverse disciplines (e.g., electronics, science, neurobiology), foster further for accelerated development.

Language: Английский

Citations

12
Emerging role of extracellular vesicles in diabetic retinopathy DOI Creative Commons
Junyan Zhu, Jin Huang, Yaoxiang Sun

et al.

Theranostics, Journal Year: 2024, Volume and Issue: 14(4), P. 1631 - 1646

Published: Jan. 1, 2024

Diabetic retinopathy (DR), a complex complication of diabetes mellitus (DM), is leading cause adult blindness.Hyperglycemia triggers DR, resulting in microvascular damage, glial apoptosis, and neuronal degeneration.Inflammation oxidative stress play crucial roles during this process.Current clinical treatments for DR primarily target the advanced retinal disorder but offer limited benefits with inevitable side effects.Extracellular vesicles (EVs) exhibit unique morphological features, contents, biological properties can be found cell culture supernatants, various body fluids, tissues.In EVs specific cargo composition would induce reaction receptor once internalized, mediating cellular communication disease progression.Increasing evidence indicates that monitoring changes EV quantity content aid diagnosis prognosis.Furthermore, extensive research investigating potential these nanoparticles as effective therapeutic agents preclinical models DR.This review explores current understanding pathological effects development, discusses their biomarkers strategies, paves way further advancements.

Language: Английский

Citations

9
Inspiration from Visual Ecology for Advancing Multifunctional Robotic Vision Systems: Bio‐inspired Electronic Eyes and Neuromorphic Image Sensors DOI
Changsoon Choi, Gil Ju Lee, Sehui Chang

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 14, 2024

In robotics, particularly for autonomous navigation and human-robot collaboration, the significance of unconventional imaging techniques efficient data processing capabilities is paramount. The unstructured environments encountered by robots, coupled with complex missions assigned to them, present numerous challenges necessitating diverse visual functionalities, consequently, development multifunctional robotic vision systems has become indispensable. Meanwhile, rich diversity inherent in animal systems, honed over evolutionary epochs meet their survival demands across varied habitats, serves as a profound source inspirations. Here, recent advancements drawing inspiration from natural ocular structures perception mechanisms are delineated. First, unique functionalities eyes terrestrial, aerial, aquatic habitats signal mechanism humans explored. Then, designs bio-inspired electronic explored, engineered mimic key components underlying optical principles eyes. Furthermore, neuromorphic image sensors discussed, emulating functional properties synapses, neurons, retinas thereby enhancing accuracy efficiency tasks. Next, integration examples mobile robotic/biological introduced. Finally, forward-looking outlook on provided.

Language: Английский

Citations

9