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

Advanced Materials, Journal Year: 2019, Volume and Issue: 31(48)

Published: Sept. 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.

Language: Английский

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Neuromorphic nanoelectronic materials

Nature Nanotechnology, Journal Year: 2020, Volume and Issue: 15(7), P. 517 - 528

Published: March 2, 2020

Language: Английский

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Charge transport in high-mobility conjugated polymers and molecular semiconductors

Nature Materials, Journal Year: 2020, Volume and Issue: 19(5), P. 491 - 502

Published: April 15, 2020

Language: Английский

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A comprehensive review on emerging artificial neuromorphic devices

Applied Physics Reviews, Journal Year: 2020, Volume and Issue: 7(1)

Published: Feb. 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.

Language: Английский

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Charge carrier traps in organic semiconductors: a review on the underlying physics and impact on electronic devices

Journal of Materials Chemistry C, Journal Year: 2019, Volume and Issue: 8(3), P. 759 - 787

Published: Dec. 17, 2019

The phenomenon of charge carrier traps in organic semiconductors and their impact on electronic devices are reviewed.

Language: Английский

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Recent Advances in Transistor‐Based Artificial Synapses

Advanced Functional Materials, Journal Year: 2019, Volume and Issue: 29(42)

Published: Aug. 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.

Language: Английский

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2022 roadmap on neuromorphic computing and engineering

Neuromorphic Computing and Engineering, Journal Year: 2022, Volume and Issue: 2(2), P. 022501 - 022501

Published: Jan. 12, 2022

Abstract Modern computation based on von Neumann architecture is now a mature cutting-edge science. In the architecture, processing and memory units are implemented as separate blocks interchanging data intensively continuously. This transfer responsible for large part of power consumption. The next generation computer technology expected to solve problems at exascale with 10 18 calculations each second. Even though these future computers will be incredibly powerful, if they type architectures, consume between 20 30 megawatts not have intrinsic physically built-in capabilities learn or deal complex our brain does. These needs can addressed by neuromorphic computing systems which inspired biological concepts human brain. new has potential used storage amounts digital information much lower consumption than conventional processors. Among their applications, an important niche moving control from centers edge devices. aim this roadmap present snapshot state provide opinion challenges opportunities that holds in major areas technology, namely materials, devices, circuits, algorithms, ethics. collection perspectives where leading researchers community own view about current research area. We hope useful resource providing concise yet comprehensive introduction readers outside field, those who just entering well established community.

Language: Английский

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Flexible Neuromorphic Electronics for Computing, Soft Robotics, and Neuroprosthetics

Advanced Materials, Journal Year: 2019, Volume and Issue: 32(15)

Published: Sept. 26, 2019

Flexible neuromorphic electronics that emulate biological neuronal systems constitute a promising candidate for next-generation wearable computing, soft robotics, and neuroprosthetics. For realization, with the achievement of simple synaptic behaviors in single device, construction artificial synapses various functions sensing responding integrated to mimic complicated sensing, is prerequisite. Artificial have learning ability can perceive react events real world; these abilities expand applications toward health monitoring cybernetic devices future Internet Things. To demonstrate flexible successfully, it essential develop nerves replicating functionalities counterparts satisfying requirements constructing elements such as flexibility, low power consumption, high-density integration, biocompatibility. Here, progress addressed, from basic backgrounds including characteristics, device structures, mechanisms nerves, Finally, research directions are suggested this emerging area.

Language: Английский

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Artificial Skin Perception

Advanced Materials, Journal Year: 2020, Volume and Issue: 33(19)

Published: Sept. 15, 2020

Abstract Skin is the largest organ, with functionalities of protection, regulation, and sensation. The emulation human skin via flexible stretchable electronics gives rise to electronic (e‐skin), which has realized artificial sensation other functions that cannot be achieved by conventional electronics. To date, tremendous progress been made in data acquisition transmission for e‐skin systems, while implementation perception within is, sensory processing, still its infancy. Integrating functionality into a sensing system, namely perception, critical endow current systems higher intelligence. Here, recent design fabrication devices summarized, challenges prospects are discussed. strategies implementing utilize either silicon‐based circuits or novel computing such as memristive synaptic transistors, enable surpass skin, distributed, low‐latency, energy‐efficient information‐processing ability. In future, would new enabling technology construct next‐generation intelligent advanced applications, robotic surgery, rehabilitation, prosthetics.

Language: Английский

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Dynamical memristors for higher-complexity neuromorphic computing

Nature Reviews Materials, Journal Year: 2022, Volume and Issue: 7(7), P. 575 - 591

Published: April 8, 2022

Language: Английский

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