Integration of Perovskite/Low‐Dimensional Material Heterostructures for Optoelectronics and Artificial Visual Systems DOI Creative Commons
Yingge Du, Junjie Yang, Ziyu Lv

et al.

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

Published: April 14, 2025

Abstract Heterojunctions combining halide perovskites with low‐dimensional materials are revolutionizing optoelectronic device design by leveraging complementary properties. Halide perovskites, known for their tunable bandgaps, excellent light‐harvesting, and efficient charge carrier mobility, provide a robust foundation photodetectors (PDs) imaging sensors. Low‐dimensional contribute ultrafast enhanced light‐matter interactions, mechanical flexibility. When integrated into heterostructures, these enable precise control over dynamics, leading to significant improvements in efficiency, stability, response speed. This synergy addresses critical challenges optoelectronics, advancing flexible electronics, wearable sensors, high‐sensitivity systems. Ongoing advancements interface engineering material synthesis continually enhancing the reliability operational efficacy of devices across various environmental conditions. Additionally, heterostructures show substantial promise neuromorphic computing, where properties support energy‐efficient, event‐driven data processing. By mimicking adaptive hierarchical nature biological visual systems, they offer new possibilities real‐time image analysis intelligent decision‐making. review highlights latest developments perovskite‐based heterojunctions transformative role bridging gap between artificial vision, driving technologies such as robotics bio‐inspired

Language: Английский

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

20
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

19
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

7
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

4
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

18
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

16
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
Object Motion Detection Enabled by Reconfigurable Neuromorphic Vision Sensor under Ferroelectric Modulation DOI
Zhaoying Dang, Feng Guo, Zhaoqing Wang

et al.

ACS Nano, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 26, 2024

Increasing the demand for object motion detection (OMD) requires shifts of reducing redundancy, heightened power efficiency, and precise programming capabilities to ensure consistency accuracy. Drawing inspiration from motion-sensitive ganglion cells, we propose an OMD vision sensor with a simple device structure WSe

Language: Английский

Citations

11
Biomimetic optoelectronics with nanomaterials for artificial vision DOI

Zhenghao Long,

Yu Zhou, Yucheng Ding

et al.

Nature Reviews Materials, Journal Year: 2024, Volume and Issue: 10(2), P. 128 - 146

Published: Nov. 20, 2024

Language: Английский

Citations

11
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

10