Organic electrochemical transistors

Nature Reviews Materials, Год журнала: 2018, Номер 3(2)

Опубликована: Янв. 16, 2018

Язык: Английский

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A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing

Nature Materials, Год журнала: 2017, Номер 16(4), С. 414 - 418

Опубликована: Фев. 20, 2017

Язык: Английский

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Electronic Skin: Recent Progress and Future Prospects for Skin‐Attachable Devices for Health Monitoring, Robotics, and Prosthetics

Advanced Materials, Год журнала: 2019, Номер 31(48)

Опубликована: Сен. 19, 2019

Abstract Recent progress in electronic skin or e‐skin research is broadly reviewed, focusing on technologies needed three main applications: skin‐attachable electronics, robotics, and prosthetics. First, since will be exposed to prolonged stresses of various kinds needs conformally adhered irregularly shaped surfaces, materials with intrinsic stretchability self‐healing properties are great importance. Second, tactile sensing capability such as the detection pressure, strain, slip, force vector, temperature important for health monitoring attachable devices, enable object manipulation surrounding environment robotics For chemical electrophysiological wireless signal communication high significance fully gauge state users ensure user comfort. prosthetics, large‐area integration 3D surfaces a facile scalable manner critical. Furthermore, new processing strategies using neuromorphic devices efficiently process information parallel low power manner. neural interfacing electrodes These topics discussed, progress, current challenges, future prospects.

Язык: Английский

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A bioinspired flexible organic artificial afferent nerve

Science, Год журнала: 2018, Номер 360(6392), С. 998 - 1003

Опубликована: Июнь 1, 2018

I've got a feeling Sensory (or afferent) nerves bring sensations of touch, pain, or temperature variation to the central nervous system and brain. Using tools materials organic electronics, Kim et al. combined pressure sensor, ring oscillator, an ion gel–gated transistor form artificial mechanoreceptor (see Perspective by Bartolozzi). The combination allows for sensing multiple inputs, which can be converted into sensor signal used drive motion cockroach leg in oscillatory pattern. Science , this issue p. 998 ; see also 966

Язык: Английский

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Organic electronics for neuromorphic computing

Nature Electronics, Год журнала: 2018, Номер 1(7), С. 386 - 397

Опубликована: Июль 13, 2018

Язык: Английский

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Neuromorphic nanoelectronic materials

Nature Nanotechnology, Год журнала: 2020, Номер 15(7), С. 517 - 528

Опубликована: Март 2, 2020

Язык: Английский

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Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges

Advanced Materials, Год журнала: 2019, Номер 31(49)

Опубликована: Сен. 24, 2019

As the research on artificial intelligence booms, there is broad interest in brain-inspired computing using novel neuromorphic devices. The potential of various emerging materials and devices for has attracted extensive efforts, leading to a large number publications. Going forward, order better emulate brain's functions, its relevant fundamentals, working mechanisms, resultant behaviors need be re-visited, understood, connected electronics. A systematic overview biological neural systems given, along with their related critical mechanisms. Recent progress reviewed and, more importantly, existing challenges are highlighted hopefully shed light future directions.

Язык: Английский

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A comprehensive review on emerging artificial neuromorphic devices

Applied Physics Reviews, Год журнала: 2020, Номер 7(1)

Опубликована: Фев. 24, 2020

The rapid development of information technology has led to urgent requirements for high efficiency and ultralow power consumption. In the past few decades, neuromorphic computing drawn extensive attention due its promising capability in processing massive data with extremely low Here, we offer a comprehensive review on emerging artificial devices their applications. light inner physical processes, classify into nine major categories discuss respective strengths weaknesses. We will show that anion/cation migration-based memristive devices, phase change, spintronic synapses have been quite mature possess excellent stability as memory device, yet they still suffer from challenges weight updating linearity symmetry. Meanwhile, recently developed electrolyte-gated synaptic transistors demonstrated outstanding energy efficiency, linearity, symmetry, but scalability need be optimized. Other structures, such ferroelectric, metal–insulator transition based, photonic, purely electronic also limitations some aspects, therefore leading further developing high-performance devices. Additional efforts are demanded enhance functionality neurons while maintaining relatively cost area power, it significance explore intrinsic neuronal stochasticity optimize driving capability, etc. Finally, by looking correlations between operation mechanisms, material systems, device performance, provide clues future selections, designs, integrations neurons.

Язык: Английский

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Photonic Synapses Based on Inorganic Perovskite Quantum Dots for Neuromorphic Computing

Advanced Materials, Год журнала: 2018, Номер 30(38)

Опубликована: Июль 31, 2018

Inspired by the biological neuromorphic system, which exhibits a high degree of connectivity to process huge amounts information, photonic memory is expected pave way overcome von Neumann bottleneck for nonconventional computing. Here, flash based on all-inorganic CsPbBr3 perovskite quantum dots (QDs) demonstrated. The heterostructure formed between QDs and semiconductor layer serves as basis optically programmable electrically erasable characteristics device. Furthermore, synapse functions including short-term plasticity, long-term spike-rate-dependent plasticity are emulated at device level. potentiation electrical habituation implemented synaptic weight multiple wavelength response from 365, 450, 520 660 nm. These results may locate stage further thrilling novel advances in perovskite-based memories.

Язык: Английский

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Recent Advances in Transistor‐Based Artificial Synapses

Advanced Functional Materials, Год журнала: 2019, Номер 29(42)

Опубликована: Авг. 9, 2019

Abstract Simulating biological synapses with electronic devices is a re‐emerging field of research. It widely recognized as the first step in hardware building brain‐like computers and artificial intelligent systems. Thus far, different types have been proposed to mimic synaptic functions. Among them, transistor‐based advantages good stability, relatively controllable testing parameters, clear operation mechanism, can be constructed from variety materials. In addition, they perform concurrent learning, which weight update performed without interrupting signal transmission process. Synergistic control one device also implemented synapse, opens up possibility developing robust neuron networks significantly fewer neural elements. These unique features make them more suitable for emulating functions than other devices. However, development still its very early stages. Herein, this article presents review recent advances order give guideline future implementation transistors. The main challenges research directions are presented.

Язык: Английский

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