共查询到20条相似文献，搜索用时 15 毫秒
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Gioacchino Calandra Sebastianella Michele Di Lauro Mauro Murgia Michele Bianchi Stefano Carli Michele Zoli Luciano Fadiga Fabio Biscarini 《Advanced Electronic Materials》2021,7(12):2100755
Organic neuromorphic devices mimic signal processing features of biological synapses, with short-term plasticity, STP, modulated by the frequency of the input voltage pulses. Here, an artificial synapse, made of intracortical microelectrodes, is demonstrated that exhibits either depressive or facilitative STP. The crossover between the two STP regimes is controlled by the frequency of the input voltage. STP features are described with an equivalent circuit where an inductance component is introduced in parallel with the RC circuit associated with poly(3,4-ethylenedioxythiophene)/polystyrene sulfonate (PEDOT/PSS)||electrolyte interface. The proposed RLC circuit explains the physical origin of the observed STP and its two timescales in terms of charge build up in PEDOT/PSS. 相似文献
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Facing the exponential growth of data digital communications and the advent of artificial intelligence, there is an urgent need for information technologies with huge storage capacity and efficient computing processing. However, the traditional von Neumann architecture and silicon-based storage and computing technology will reach their limits and cannot meet the storage requirements of ultrasmall size, ultrahigh density, and memory computing. Considering these issues, organic material resistance switching memory and memristor devices have become promising candidates for high-density storage, logic computing, and neuromorphic computing because of their advantages of fast speed, high energy efficiency, nonvolatile storage, and low cost. In this article, the working mechanism, material design strategy, and device performance of organic memory and memristors are reviewed. 相似文献
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Yunchao Xu Wanrong Liu Yulong Huang Chenxing Jin Bosheng Zhou Jia Sun Junliang Yang 《Advanced Electronic Materials》2021,7(11):2100336
In recent years, flexible organic synaptic transistors have attracted considerable attention due to their flexibility, biocompatibility, easy processability, and reduced complexity. Flexible organic synaptic transistors have functions and structures similar to biological synapses but have lower energy consumption. Therefore, they are widely used in mimicking neuromorphic functions. Such devices show significant prospects in the fields of electronic skin, artificial vision system, human brain interface, and wearable consumer electronics. This review summarizes the latest research progress of flexible organic synaptic transistor devices and discusses the selection of flexible substrates, device preparation technology, working mechanisms, and functions. Furthermore, the problems faced by flexible organic synaptic transistor devices and their potential applications are analyzed. This review provides a reference for the design and preparation of flexible organic synaptic transistor devices. 相似文献
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Guiming Cao Peng Meng Jiangang Chen Haishi Liu Renji Bian Chao Zhu Fucai Liu Zheng Liu 《Advanced functional materials》2021,31(4):2005443
The demand for computing power has been increasing exponentially since the emergence of artificial intelligence (AI), internet of things (IoT), and machine learning (ML), where novel computing primitives are required. Brain inspired neuromorphic computing systems, capable of combining analog computing and data storage at the device level, have drawn great attention recently. In addition, the basic electronic devices mimicking the biological synapse have achieved significant progress. Owing to their atomic thickness and reduced screening effect, the physical properties of 2D materials could be easily modulated by various stimuli, which is quite beneficial for synaptic applications. In this article, aiming at high-performance and functional neuromorphic computing applications, a comprehensive review of synaptic devices based on 2D materials is provided, including the advantages of 2D materials and heterostructures, various robust multifunctional 2D synaptic devices, and associated neuromorphic applications. Challenges and strategies for the future development of 2D synaptic devices are also discussed. This review will provide an insight into the design and preparation of 2D synaptic devices and their applications in neuromorphic computing. 相似文献
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Federico Ferrarese Lupi Gianluca Milano Angelo Angelini Mateo Rosero-Realpe Bruno Torre Erika Kozma Christian Martella Carlo Grazianetti 《Advanced functional materials》2024,34(32):2403158
Neuromorphic computing aims to leverage physical phenomena of adaptive materials for emulating information processing capabilities and effectiveness of biological neuronal circuits. In this framework, memristors (resistors with memory) based on 2D materials are demonstrated for the hardware implementation of highly integrated artificial neural networks. All the works reported thus far exploited electrical properties of 2D materials to emulate neuromorphic functionalities. Here, a 2D memitter (emitter with memory) is reported on that exploits the stimuli-responsive photoluminescence of a monolayer WS2 for neuromorphic-type of data processing. A combined experimental and modeling approach reveals that photoluminescent dynamics triggered by optical stimulation emulates Short-Term synaptic Plasticity and Visual Short-Term Memory typical of biological systems. While spatio-temporal processing capabilities of input signals can be used for information processing in the context of reservoir computing, the capability of the 2D memitter of sensing, processing, and memorizing-forgetting optical inputs in the same physical substrate can be utilized for in-sensor computing. 相似文献
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Chen‐Yu Wang Cong Wang Fanhao Meng Pengfei Wang Shuang Wang Shi‐Jun Liang Feng Miao 《Advanced Electronic Materials》2020,6(2)
With many fantastic properties, memristive devices are a top candidate for next‐generation memory and neuromorphic computing chips. Significant research progress has been made in improving the performance of individual memristive devices and in demonstrating functional applications based on small‐scale memristive crossbar arrays. However, practical deployment of large‐scale traditional metal‐oxide‐based memristive crossbar arrays has been challenging due to several issues, such as high power consumption, poor device reliability, and low integration density. To solve these issues, new materials that exhibit superior properties are required. 2D layered materials exhibit many unique physical properties and show great promise in solving these challenges, further providing new opportunities to implement practical applications in neuromorphic computing. Recent research progress in 2D layered‐material‐based memristive device applications is reviewed. An overview of the progress in and challenges for the use of 2D layered materials to solve the issues of conventional memristive devices and to realize more complex functionalities in neuromorphic computing is provided. Additionally, an outlook of exploitation of the unique properties of 2D layered materials and van der Waals heterostructures for developing new types of memristive devices and artificial neural microcircuits is given. 相似文献
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Stefan Lach Anna Altenhof Kartick Tarafder Felix Schmitt Md. Ehesan Ali Michael Vogel Jens Sauther Peter M. Oppeneer Christiane Ziegler 《Advanced functional materials》2012,22(5):989-997
Electrons in organic semiconductors (OSC) possess remarkably long spin relaxation times. Hybrid spintronic devices that combine OSC with ferromagnetic (FM) substrates are therefore expected to provide a route to devices with improved and new functionalities. A crucial role is played by the FM‐OSC interface which governs the spin injection into the OSC. Using spin‐resolved photoelectron spectroscopy and ab initio calculations we study here such possible injection channels in metal phthalocyanines (MPc). We report the first direct observation of the successful engineering of different spin‐selective hybrid interface states at the Fermi level of a FM‐OSC hybrid junction only by changing the central metal atom of a MPc. Our results demonstrate that tailoring the chemical interaction at the FM‐OSC interface is a promising way to modify the spin injection channels and thus the spin injection capability. 相似文献
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Hanxi Li Jiayang Hu Yishu Zhang Anzhe Chen Jiachao Zhou Yuda Zhao Yang Xu Bin Yu 《Advanced functional materials》2024,34(22):2314456
The visual system is crucial for human perception and learning, and the retina is responsible for pre-processing visual information. Mimicking the neurobiological functions of the retina provides the basis for neuromorphic vision hardware. Here, an optogenetics-inspired prototype capable of modifying neuron-spiking behavior in a retina-like manner is demonstrated. In addition to basic information processing, neuronal signal transmission in the retina is bio-faithfully emulated using optical modulation, that is, neuronal firing is inhibited in the dark and activated upon illumination. The proposed single threshold-switch field-effect transistor optoelectronic neuron features an ultra-compact design by integrating a gate-modulated 2D MoS2 channel with a volatile threshold switch, and optoelectronic performance is achieved through a multi-physics resistance-matching mechanism. This study provides a promising pathway toward highly scalable and hierarchically designed spiking electronics, expanding the spectrum of neuromorphic hardware applications in the emerging field of biomimetic vision. 相似文献
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基于冯·诺依曼结构的传统计算机由于内存和处理器的物理分离,性能受到限制。为实现后摩尔时代先进神经形态计算技术的可持续发展,具有存算一体架构的神经形态器件成为一个可选解决方案。文中展示了一种基于光调制的人工突触,其凭借出色光响应特性,实现了电导的光可调协,并且表现出优异的光电突触行为,成功模拟了包括刺激强化、训练促进和记忆巩固等生物突触的关键行为特征,还评估了器件遗忘的可预测性。这项研究为硬件人工神经网络 (artificial neural network,ANN) 的实现和感知系统的模拟具有重要意义。 相似文献
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Sung‐Il Kim Yeongjun Lee Min‐Ho Park Gyeong‐Tak Go Young‐Hoon Kim Wentao Xu Hyeon‐Dong Lee Hobeom Kim Dae‐Gyo Seo Wanhee Lee Tae‐Woo Lee 《Advanced Electronic Materials》2019,5(9)
The hysteretic behavior of organic–inorganic halide perovskites (OHPs) are exploited for application in neuromorphic electronics. Artificial synapses with 2D and quasi‐2D perovskite are demonstrated that have a bulky organic cation (phenethylammonium (PEA)) to form structures of (PEA)2MAn‐1PbnBr3n+1. The OHP films have morphological properties that depend on their structure dimensionality (i.e., n value), and artificial synapses fabricated from them show synaptic responses such as short‐term plasticity, paired‐pulse facilitation, and long‐term plasticity. The operation mechanism of OHP artificial synapses are also analyzed depending on the dimensionality and it is found that quasi‐2D (n = 3–5) OHP artificial synapses show much longer retention than 2D and 3D OHP counterparts. The calculated energy consumption of a 2D OHP artificial synapse (≈0.7 fJ per synaptic event) is comparable to that of biological synapses (1–10 fJ per synaptic event). These OHP artificial synapses may enable development of neuromorphic electronics that use very little energy. 相似文献
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To realize highly efficient neuromorphic computing that is comparable to biological counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses and neurons, are developed with memristive devices with native dynamics resembling biological synapses and neurons. Tremendous materials and devices have been successfully used to emulate diverse functions of synapses, as well as neurons, in the last decade. Herein, approaches to realize certain synaptic or neuronal functions are introduced with state‐of‐art experimental demonstrations. First, the dynamics and working principles of biological synapses and neurons are briefly presented to provide guidance for developing biorealistic synapses and neurons. Second, recent advances in the development of memristive synapses with homosynaptic and heterosynaptic plasticity are disscussed. In particular, approaches to realize the important learning rules, like spiking‐timing‐dependent plasticity and Bienenstock–Cooper–Munro learning rules, are elaborated according to the level of faithfulness to biological synapses. Memristive neurons, including bioplausible neurons and biophysical neurons, are described. Finally, challenges and perspectives for bioinspired computing based on memristive devices are briefly discussed. 相似文献
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Jesse. S. Jur William J. Sweet III Christopher J. Oldham Gregory N. Parsons 《Advanced functional materials》2011,21(11):1993-2002
Conductive coatings on complex fibrous systems are attracting interest for new electronic and other functional systems. Obtaining a quantitative conductivity value for complex surface coatings is often difficult. This work describes a procedure to quantify the effective electrical conductivity of conductive coatings on non‐conductive fibrous networks. By applying a normal force orthogonal to the current and field direction, fiber/fiber contact is improved and consistent conductance values can be measured. Nylon fibers coated with an electroless silver plating shows effective conductivity up to 1950 S cm?1, and quartz fibers coated with tungsten by atomic layer deposition (ALD) show values up to ～1150 S cm?1. Cotton fibers and paper coated with a range of ZnO film thicknesses by ALD show effective conductivity of up to 24 S cm?1 under applied normal force, and conductivity scaled as expected with film coating thickness. Furthermore, we use the conductive coatings to produce an “all‐fiber” metal–insulator–metal capacitor that functions as a liquid chemical sensor. The ability to reliably analyze the effective conductivity of coatings on complex fiber systems will be important to design and improve performance of similar devices and other electronic textiles structures. 相似文献
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Yuping Deng Mingyou Zhao Yuan Ma Shangbin Liu Mingda Liu Boyu Shen Rongfeng Li He Ding Huanyu Cheng Xing Sheng Wangyang Fu Zehui Li Milin Zhang Lan Yin 《Advanced functional materials》2023,33(18):2370114
Neuromorphic electronics has demonstrated great promise in mimicking the sensory and memory functions of biological systems. However, synaptic devices with desirable sensitivity, selectivity, and operational voltage imitating the olfactory system have rarely been reported. Here, a flexible and biomimetic olfactory synapse based on an organic electrochemical transistor (OECT) coupled with a breath-figure derived porous solid polymer electrolyte (SPE) is proposed. The device demonstrates excellent sensitivity with a ppb-level response limit and desirable selectivity toward hydrogen sulfide (H2S) over other gases, and successfully achieves wireless real-time detection of excessive concentration of H2S from rotten eggs. H2S-mediated synaptic plasticity is accomplished with the device and typical synaptic behaviors are realized, including short-term memory (STM), long-term memory (LTM), transition from STM to LTM, etc., enabling the imitation of potential cumulative damages upon H2S exposure. The proposed device paves new ways toward next-generation olfactory systems capable of sensing and memorizing functionalities mimicking neurobiological systems, offering critical materials strategies to accomplish intelligent artificial sensory systems. 相似文献
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Zehui Peng Facai Wu Li Jiang Guangsen Cao Bei Jiang Gong Cheng Shanwu Ke Kuan-Chang Chang Lei Li Cong Ye 《Advanced functional materials》2021,31(48):2107131
Neuromorphic devices are among the most emerging electronic components to realize artificial neural systems and replace traditional complementary metal–oxide semiconductor devices in recent times. In this work, tri-layer HfO2/BiFeO3(BFO)/HfO2 memristors are designed by inserting traditional ferroelectric BFO layers measuring ≈4 nm after thickness optimization. The novel designed memristor shows excellent resistive switching (RS) performance such as a storage window of 104 and multi-level storage ability. Remarkably, essential synaptic functions can be successfully realized on the basis of the linearity of conductance modulation. The pattern recognition simulation based on neuromorphic network is conducted with 91.2% high recognition accuracy. To explore the RS performance enhancement and artificial synaptic behaviors, conductive filaments (CFs) composed of Hafnium (Hf) single crystal with a hexaganal lattice structure are observed using high-resolution transmission electron microscopy. It is reasonable to believe that the sufficient oxygen vacancies in the inserting BFO thin film play a crucial role in adjusting the morphology and growth of Hf CFs, which leads to the promising synaptic and enhanced RS behavior, thus demonstrating the potential of this memristor for use in neuromorphic computing. 相似文献
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Ying Zhou Huaqiang Wu Bin Gao Wei Wu Yue Xi Peng Yao Shuanglin Zhang Qingtian Zhang He Qian 《Advanced functional materials》2019,29(30)
Associative memory is one of the significant characteristics of the biological brain. However, it has yet to be realized in a large memristor array due to the high requirements on the memristor device. In this work, the multilevel memristor cell is optimized by employing an electro‐thermal modulation layer. Memristor devices show both high resistance, cell‐to‐cell uniformity, and multilevel resistive switching behaviors with good reliability. A Hopfield neural network is experimentally demonstrated on a 1k memristor array that is capable of realizing the associative memory function for emotion image recovery. By using both asynchronous and synchronous refresh schemes, complete emotion images can be recalled from partial information. 相似文献