A Photoelectrochemical Retinomorphic Synapse

Advanced Materials, Год журнала: 2024, Номер 36(38)

Опубликована: Июль 26, 2024

Abstract Reproducing human visual functions with artificial devices is a long‐standing goal of the neuromorphic domain. However, emulating chemical language communication system in fluids remains grand challenge. Here, “multi‐color” hydrogel‐based photoelectrochemical retinomorphic synapse reported unique chemical‐ionic‐electrical signaling an aqueous electrolyte that enables, e.g., color perception and biomolecule‐mediated synaptic plasticity. Based on specific enzyme‐catalyzed chromogenic reactions, three multifunctional colored hydrogels are developed, which can not only synergize Bi 2 S 3 photogate to recognize primary colors but also given polymeric channel promote long‐term memory system. A array further constructed for sensing images biomolecule‐coded information communication. Taking advantage versatile biochemistry, biochemical‐driven reversible photoelectric response cone cell mimicked. This work introduces rich designs into devices, providing perspective replicating fluids.

Язык: Английский

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Advanced Organic–Inorganic Hybrid Materials for Optoelectronic Applications

Advanced Functional Materials, Год журнала: 2024, Номер unknown

Опубликована: Сен. 9, 2024

Abstract Research on organic–inorganic hybrid materials (OIHMs) has experienced explosive growth in the past decades. The diversity of organic components allows for introduction various spatial scales, functional groups, and polarities, while inorganic provide higher hardness, heat resistance, stability, their flexible combination facilitates formation diverse structures. Furthermore, simple cost‐effective synthesis methods, such as room temperature solution processes mechanochemical techniques, enable precise control over materials' properties at different thus achieving adjustable structure–performance relationships. This review will discuss recent research progress OIHMs within field optoelectronics related optoelectronic device applications. According to dimension nature interface, this divides into four structural categories. ongoing revealed applications fields solar cells, light‐emitting devices, detectors, memristors. As an outlook, potential perovskite 0D metal halide materials, which are currently most studied, enhancing performance stability is discussed.

Язык: Английский

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Bio‐Inspired Sensory Receptors for Artificial‐Intelligence Perception

Advanced Materials, Год журнала: 2024, Номер unknown

Опубликована: Май 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

Язык: Английский

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Boosting flexible electronics with integration of two‐dimensional materials

InfoMat, Год журнала: 2024, Номер 6(7)

Опубликована: Июнь 4, 2024

Abstract Flexible electronics has emerged as a continuously growing field of study. Two‐dimensional (2D) materials often act conductors and electrodes in electronic devices, holding significant promise the design high‐performance, flexible electronics. Numerous studies have focused on harnessing potential these for development such devices. However, to date, incorporation 2D rarely been summarized or reviewed. Consequently, there is an urgent need develop comprehensive reviews rapid updates this evolving landscape. This review covers progress complex material architectures based materials, including interfaces, heterostructures, 2D/polymer composites. Additionally, it explores wearable energy storage conversion, display touch technologies, biomedical applications, together with integrated solutions. Although pursuit high‐performance high‐sensitivity instruments remains primary objective, also warrants consideration. By combining multiple functionalities into singular device, augmented by machine learning algorithms, we can potentially surpass performance existing technologies. Finally, briefly discuss future trajectory burgeoning field. discusses recent advancements sensors made from their applications architecture device design.

Язык: Английский

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Hemispherical Retina Emulated by Plasmonic Optoelectronic Memristors with All‐Optical Modulation for Neuromorphic Stereo Vision

Advanced Science, Год журнала: 2024, Номер unknown

Опубликована: Июль 25, 2024

Binocular stereo vision relies on imaging disparity between two hemispherical retinas, which is essential to acquire image information in three dimensional environment. Therefore, retinomorphic electronics with structural and functional similarities biological eyes are always highly desired develop perception system. In this work, a optoelectronic memristor array based Ag-TiO

Язык: Английский

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High-performance IGZO/In2O3 NW/IGZO phototransistor with heterojunctions architecture for image processing and neuromorphic computing

Journal of Material Science and Technology, Год журнала: 2024, Номер 196, С. 190 - 199

Опубликована: Март 9, 2024

Язык: Английский

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Recent progress in organic optoelectronic synaptic transistor arrays: fabrication strategies and innovative applications of system integration

Journal of Semiconductors, Год журнала: 2025, Номер 46(2), С. 021405 - 021405

Опубликована: Фев. 1, 2025

Abstract The rapid growth of artificial intelligence has accelerated data generation, which increasingly exposes the limitations faced by traditional computational architectures, particularly in terms energy consumption and latency. In contrast, data-centric computing that integrates processing storage potential reducing latency usage. Organic optoelectronic synaptic transistors have emerged as one type promising devices to implement paradigm owing their superiority flexibility, low cost, large-area fabrication. However, sophisticated functions including vector-matrix multiplication a single device can achieve are limited. Thus, fabrication utilization organic transistor arrays (OOSTAs) imperative. Here, we summarize recent advances OOSTAs. Various strategies for manufacturing OOSTAs introduced, coating casting, physical vapor deposition, printing, photolithography. Furthermore, innovative applications OOSTA system integration discussed, neuromorphic visual systems systems. At last, challenges future perspectives utilizing real-world discussed.

Язык: Английский

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Strategic Development of Memristors for Neuromorphic Systems: Low‐Power and Reconfigurable Operation

Advanced Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

The ongoing global energy crisis has heightened the demand for low-power electronic devices, driving interest in neuromorphic computing inspired by parallel processing of human brains and efficiency. Reconfigurable memristors, which integrate both volatile non-volatile behaviors within a single unit, offer powerful solution in-memory computing, addressing von Neumann bottleneck that limits conventional architectures. These versatile devices combine high density, low power consumption, adaptability positioning them as superior alternatives to traditional complementary metal-oxide-semiconductor (CMOS) technology emulating brain-like functions. Despite their potential, studies on reconfigurable memristors remain sparse are often limited specific materials such Mott insulators without fully unique reconfigurability. This review specifically focuses examining dual-mode operation, diverse physical mechanisms, structural designs, material properties, switching behaviors, applications. It highlights recent advancements low-power-consumption solutions memristor-based neural networks critically evaluates challenges deploying standalone or artificial systems. provides in-depth technical insights quantitative benchmarks guide future development implementation computing.

Язык: Английский

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Unlocking Neuromorphic Vision: Advancements in IGZO-Based Optoelectronic Memristors with Visible Range Sensitivity

ACS Applied Electronic Materials, Год журнала: 2024, Номер 6(7), С. 5230 - 5243

Опубликована: Июль 5, 2024

Optoelectronic memristors based on amorphous oxide semiconductors (AOSs) are promising devices for the development of spiking neural network (SNN) hardware in neuromorphic vision sensors. In such devices, conductance state can be controlled by both optical and electrical stimuli, while typical persistent photoconductivity (PPC) AOS materials used to emulate synaptic functions. However, due large band gap these materials, sensitivity visible light (red/green/blue) is difficult accomplish, which hinders applications requiring color discrimination. this work, we report a 4 μm

Язык: Английский

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Emerging optoelectronic artificial synapses and memristors based on low-dimensional nanomaterials

Applied Physics Reviews, Год журнала: 2024, Номер 11(1)

Опубликована: Янв. 19, 2024

The Von Neumann architecture has been the foundation of modern computing systems. Still, its limitations in processing large amounts data and parallel have become more apparent as requirements increase. Neuromorphic computing, inspired by human brain, emerged a promising solution for developing next-generation memory devices with unprecedented computational power significantly lower energy consumption. In particular, development optoelectronic artificial synaptic made significant progress toward emulating functionality biological synapses brain. Among them, potential to mimic function eye also paves way advancements robot vision intelligence. This review focuses on emerging field memristors based low-dimensional nanomaterials. unique photoelectric properties these materials make them ideal use neuromorphic storage devices, advantages including high carrier mobility, size-tunable optical properties, low resistor–capacitor circuit delay. working mechanisms, device structure designs, applications are summarized achieve truly sense-storage-computer integrated synapses.

Язык: Английский

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