Technology Roadmap for Flexible Sensors

ACS Nano, Год журнала: 2023, Номер 17(6), С. 5211 - 5295

Опубликована: Март 9, 2023

Humans rely increasingly on sensors to address grand challenges and improve quality of life in the era digitalization big data. For ubiquitous sensing, flexible are developed overcome limitations conventional rigid counterparts. Despite rapid advancement bench-side research over last decade, market adoption remains limited. To ease expedite their deployment, here, we identify bottlenecks hindering maturation propose promising solutions. We first analyze achieving satisfactory sensing performance for real-world applications then summarize issues compatible sensor-biology interfaces, followed by brief discussions powering connecting sensor networks. Issues en route commercialization sustainable growth sector also analyzed, highlighting environmental concerns emphasizing nontechnical such as business, regulatory, ethical considerations. Additionally, look at future intelligent sensors. In proposing a comprehensive roadmap, hope steer efforts towards common goals guide coordinated development strategies from disparate communities. Through collaborative efforts, scientific breakthroughs can be made sooner capitalized betterment humanity.

Язык: Английский

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Functional Fibers and Fabrics for Soft Robotics, Wearables, and Human–Robot Interface

Advanced Materials, Год журнала: 2020, Номер 33(19)

Опубликована: Окт. 6, 2020

Abstract Soft robotics inspired by the movement of living organisms, with excellent adaptability and accuracy for accomplishing tasks, are highly desirable efficient operations safe interactions human. With emerging wearable electronics, higher tactility skin affinity pursued user‐friendly human–robot interactions. Fabrics interlocked fibers perform traditional static functions such as warming, protection, fashion. Recently, dynamic fabrics favorable to deliver active stimulus responses sensing actuating abilities soft‐robots wearables. First, responsive mechanisms fiber/fabric actuators their performances under various external stimuli reviewed. Fiber/yarn‐based artificial muscles manipulation assistance in human motion discussed, well smart clothes improving perception. Second, geometric designs, fabrications, mechanisms, fibers/fabrics energy harvesting from body environments summarized. Effective integration between electronic components garments, skin, organisms is illustrated, presenting multifunctional platforms self‐powered potential biomedicine. Lastly, relationships robotic/wearable stimuli, together challenges possible routes revolutionizing robotic wearables this new era proposed.

Язык: Английский

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Memristors Based on 2D Materials as an Artificial Synapse for Neuromorphic Electronics

Advanced Materials, Год журнала: 2020, Номер 32(51)

Опубликована: Сен. 27, 2020

Abstract The memristor, a composite word of memory and resistor, has become one the most important electronic components for brain‐inspired neuromorphic computing in recent years. This device ability to control resistance with multiple states by memorizing history previous electrical inputs, enabling it mimic biological synapse neural network human brain. Among many candidates memristive materials, including metal oxides, organic low‐dimensional nanomaterials, 2D layered materials have been widely investigated owing their outstanding physical properties tunability, low‐power‐switching capability, hetero‐integration compatibility. Hence, large number experimental demonstrations on material‐based memristors reported showing unique characteristics novel synaptic functionalities, distinct from traditional bulk‐material‐based systems. Herein, an overview latest advances structures, mechanisms, is presented. Additionally, strategies modulate enhance functionalities 2D‐memristor‐based artificial synapses are summarized. Finally, as foreseeing perspective, potentials challenges these emerging future electronics also discussed.

Язык: Английский

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Retina‐Inspired Carbon Nitride‐Based Photonic Synapses for Selective Detection of UV Light

Advanced Materials, Год журнала: 2020, Номер 32(11)

Опубликована: Янв. 27, 2020

Abstract Photonic synapses combine sensing and processing in a single device, so they are promising candidates to emulate visual perception of biological retina. However, photonic with wavelength selectivity, which is key property for perception, have not been developed far. Herein, organic that selectively detect UV rays process various optical stimuli presented. The use carbon nitride (C 3 N 4 ) as an UV‐responsive floating‐gate layer transistor geometry. C nanodots dominantly absorb light; this trait the basis selectivity these synapses. presented devices consume only 18.06 fJ per synaptic event, comparable energy consumption Furthermore, situ modulation exposure light demonstrated by integrating transmittance modulators. These smart systems can be further detection dose‐calculation determine how when decrease preventive health care.

Язык: Английский

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Electrolyte-gated transistors for enhanced performance bioelectronics

Nature Reviews Methods Primers, Год журнала: 2021, Номер 1(1)

Опубликована: Окт. 7, 2021

Electrolyte-gated transistors (EGTs), capable of transducing biological and biochemical inputs into amplified electronic signals stably operating in aqueous environments, have emerged as fundamental building blocks bioelectronics. In this Primer, the different EGT architectures are described with mechanisms underpinning their functional operation, providing insight key experiments including necessary data analysis validation. Several organic inorganic materials used structures fabrication approaches for an optimal experimental design presented compared. The bio-layers and/or biosystems integrated or interfaced to EGTs, self-organization self-assembly strategies, reviewed. Relevant promising applications discussed, two-dimensional three-dimensional cell monitoring, ultra-sensitive biosensors, electrophysiology, synaptic neuromorphic bio-interfaces, prosthetics robotics. Advantages, limitations possible optimizations also surveyed. Finally, current issues future directions further developments discussed. (EGTs) bioelectronics, which transduce electrical signals. This Primer examines mechanism operation practical considerations related wide range applications.

Язык: Английский

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Semiconductor Quantum Dots for Memories and Neuromorphic Computing Systems

Chemical Reviews, Год журнала: 2020, Номер 120(9), С. 3941 - 4006

Опубликована: Март 23, 2020

The continued growth in the demand of data storage and processing has spurred development high-performance technologies brain-inspired neuromorphic hardware. Semiconductor quantum dots (QDs) offer an appealing option for these applications since they combine excellent electronic/optical properties structural stability can address requirements low-cost, large-area, solution-based manufactured technologies. Here, we focus on nonvolatile memories computing systems based QD thin-film solids. We introduce recent advances QDs highlight their unique electrical optical features designing future electronic devices. also discuss advantageous traits novel optimized memory techniques both conventional flash emerging memristors. Then, review QD-based devices from artificial synapses to light-sensory synaptic platforms. Finally, major challenges commercial translation consider directions postsilicon era.

Язык: Английский

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2D Material Based Synaptic Devices for Neuromorphic Computing

Advanced Functional Materials, Год журнала: 2020, Номер 31(4)

Опубликована: Окт. 7, 2020

Abstract The demand for computing power has been increasing exponentially since the emergence of artificial intelligence (AI), internet things (IoT), and machine learning (ML), where novel primitives are required. Brain inspired neuromorphic systems, capable combining analog data storage at device level, have drawn great attention recently. In addition, basic electronic devices mimicking biological synapse achieved significant progress. Owing to their atomic thickness reduced screening effect, physical properties 2D materials could be easily modulated by various stimuli, which is quite beneficial synaptic applications. this article, aiming high‐performance functional applications, a comprehensive review based on provided, including advantages heterostructures, robust multifunctional devices, associated Challenges strategies future development also discussed. This will provide an insight into design preparation applications in computing.

Язык: Английский

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An artificial sensory neuron with visual-haptic fusion

Nature Communications, Год журнала: 2020, Номер 11(1)

Опубликована: Сен. 14, 2020

Human behaviors are extremely sophisticated, relying on the adaptive, plastic and event-driven network of sensory neurons. Such neuronal system analyzes multiple cues efficiently to establish accurate depiction environment. Here, we develop a bimodal artificial neuron implement fusion processes. collects optic pressure information from photodetector sensors respectively, transmits through an ionic cable, integrates them into post-synaptic currents by synaptic transistor. The can be excited in levels synchronizing two cues, which enables manipulating skeletal myotubes robotic hand. Furthermore, enhanced recognition capability achieved fused visual/haptic is confirmed simulation multi-transparency pattern task. Our biomimetic design has potential advance technologies cyborg neuromorphic systems endowing with supramodal perceptual capabilities.

Язык: Английский

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Technologies toward next generation human machine interfaces: From machine learning enhanced tactile sensing to neuromorphic sensory systems

Applied Physics Reviews, Год журнала: 2020, Номер 7(3)

Опубликована: Авг. 31, 2020

With the prospect of a smart society in foreseeable future, humans are experiencing an increased link to electronics digital world, which can benefit our life and productivity drastically. In recent decades, advances Human Machine Interface (HMI) have improved from tactile sensors, such as touchpads joysticks, now include accurate detection dexterous body movements more diversified sophisticated devices. Advancements highly adaptive machine learning techniques, neural interfaces, neuromorphic sensing generated potential for economic feasible solution next-generation applications wearable HMIs with intimate multi-directional capabilities. This review offers general knowledge HMI technologies beginning sensors their piezoresistive, capacitive, piezoelectric, triboelectric mechanisms. A further discussion is given on how learning, be used enhance upcoming 5 G infrastructure advancements internet things artificial intelligence near future. The efficient interactions kinetic physiological signals human through fusion sensor will bring revolution both advanced manipulation medical rehabilitation.

Язык: Английский

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Memristive Artificial Synapses for Neuromorphic Computing

Nano-Micro Letters, Год журнала: 2021, Номер 13(1)

Опубликована: Март 6, 2021

Abstract Neuromorphic computing simulates the operation of biological brain function for information processing and can potentially solve bottleneck von Neumann architecture. This is realized based on memristive hardware neural networks in which synaptic devices that mimic synapses are primary units. Mimicking functions with these critical neuromorphic systems. In last decade, electrical optical signals have been incorporated into promoted simulation various functions. this review, discussed by categorizing them electrically stimulated, optically photoelectric synergetic stimulation signals. The working mechanisms analyzed detail. followed a discussion progress mimicking addition, existing application scenarios outlined. Furthermore, performances future development could be significant building efficient systems prospected.

Язык: Английский

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