2D Heterostructures for Ubiquitous Electronics and Optoelectronics: Principles, Opportunities, and Challenges

Chemical Reviews, Journal Year: 2022, Volume and Issue: 122(6), P. 6514 - 6613

Published: Feb. 8, 2022

A grand family of two-dimensional (2D) materials and their heterostructures have been discovered through the extensive experimental theoretical efforts chemists, material scientists, physicists, technologists. These pioneering works contribute to realizing fundamental platforms explore analyze new physical/chemical properties technological phenomena at micro-nano-pico scales. Engineering 2D van der Waals (vdW) via chemical physical methods with a suitable choice stacking order, thickness, interlayer interactions enable exotic carrier dynamics, showing potential in high-frequency electronics, broadband optoelectronics, low-power neuromorphic computing, ubiquitous electronics. This comprehensive review addresses recent advances terms representative materials, general fabrication methods, characterization techniques vital role parameters affecting quality heterostructures. The main emphasis is on 3D-bulk (3D) hybrid systems exhibiting intrinsic quantum mechanical responses optical, valley, topological states. Finally, we discuss universality applications trends for future electronics optoelectronics (FEO) under challenges opportunities from physical, nanotechnological, synthesis perspectives.

Language: Английский

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Memristive Artificial Synapses for Neuromorphic Computing

Nano-Micro Letters, Journal Year: 2021, Volume and Issue: 13(1)

Published: March 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.

Language: Английский

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Light‐Stimulated Synaptic Transistor with High PPF Feature for Artificial Visual Perception System Application

Advanced Functional Materials, Journal Year: 2022, Volume and Issue: 32(22)

Published: Feb. 2, 2022

Abstract Optoelectronic synaptic devices, which combine the functions of photosensitivity and information processing, are essential for development artificial visual perception systems. Nevertheless, improving paired pulse facilitation (PPF) index optoelectronic is an urgent problem in construction high‐precision systems, has received less attention so far. Herein, a light‐stimulated transistor (LSST) device with ultra‐high PPF ( ≈ 196%) presented by introducing ultra‐thin carrier regulator layer hexagonal boron nitride (h‐BN) into classic graphene‐based hybrid frame (graphene/CsPbBr 3 quantum dots). Crucially, analysis rate‐limiting effect h‐BN on photogenerated carriers reveals mechanism behind LSST index. Furthermore, two‐layer neural network connected devices demonstrate 91.5% recognition accuracy handwritten digits. This work provides effective method constructing systems using future.

Language: Английский

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Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses

Nano-Micro Letters, Journal Year: 2023, Volume and Issue: 16(1)

Published: Nov. 13, 2023

The recent wave of the artificial intelligence (AI) revolution has aroused unprecedented interest in intelligentialize human society. As an essential component that bridges physical world and digital signals, flexible sensors are evolving from a single sensing element to smarter system, which is capable highly efficient acquisition, analysis, even perception vast, multifaceted data. While challenging manual perspective, development intelligent been remarkably facilitated owing rapid advances brain-inspired AI innovations both algorithm (machine learning) framework (artificial synapses) level. This review presents progress emerging AI-driven, systems. basic concept machine learning synapses introduced. new enabling features induced by fusion comprehensively reviewed, significantly applications such as sensory systems, soft/humanoid robotics, activity monitoring. two most profound twenty-first century, deep incorporation technology holds tremendous potential for creating beings.

Language: Английский

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Dual‐Modal Optoelectronic Synaptic Devices with Versatile Synaptic Plasticity

Advanced Functional Materials, Journal Year: 2021, Volume and Issue: 32(1)

Published: Sept. 29, 2021

Abstract Optoelectronic synaptic devices that mimic biological synapses are critical building blocks of artificial neural networks (ANN) based on optoelectronic integration. Here it is shown an device the hybrid structure silicon nanocrystals (Si NCs) and poly(3‐hexylthiophene) (P3HT) can work with dual modes, exhibiting versatile plasticity. In three‐terminal mode, a transistor, which has wavelength‐selective plasticity due to potential wells enabled by Si NCs/P3HT structure. two‐terminal metal‐oxide‐semiconductor (MOS) device, capable mimicking spike‐rate‐dependent (SRDP) metaplasticity optical stimulation. Based light‐stimulated ANN proposed recognize handwritten digits accuracy around 90.4%. addition, SRDP may be well used for simulation edge detection images, facilitating real‐time image processing.

Language: Английский

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Fully Printed Optoelectronic Synaptic Transistors Based on Quantum Dot–Metal Oxide Semiconductor Heterojunctions

ACS Nano, Journal Year: 2022, Volume and Issue: 16(6), P. 8651 - 8661

Published: April 22, 2022

Optoelectronic synaptic transistors with hybrid heterostructure channels have been extensively developed to construct artificial visual systems, inspired by the human system. However, optoelectronic taking full advantages of superior behaviors, low-cost processes, low-power consumption, and environmental benignity remained a challenge. Herein, we report fully printed, high-performance transistor based on heterostructures heavy-metal-free InP/ZnSe core/shell quantum dots (QDs) n-type SnO2 amorphous oxide semiconductors (AOSs). The elaborately designed heterojunction improves separation efficiency photoexcited charges, leading high photoresponsivity tunable weight changes. Under coordinated modulation electrical optical modes, important biological including excitatory postsynaptic current, short/long-term plasticity, paired-pulse facilitation, were demonstrated low power consumption (∼5.6 pJ per event). QD/SnO2 vision system illustrated significantly improved accuracy 91% in image recognition, compared that bare counterparts (58%). Combining outstanding characteristics both AOS materials structures, this work provides printable, low-cost, high-efficiency strategy achieve advanced synapses for neuromorphic electronics intelligence.

Language: Английский

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Nanowires for UV–vis–IR Optoelectronic Synaptic Devices

Advanced Functional Materials, Journal Year: 2022, Volume and Issue: 33(1)

Published: Oct. 31, 2022

Abstract Simulating biological synaptic functionalities through artificial devices opens up an innovative way to overcome the von Neumann bottleneck at device level. Artificial optoelectronic synapses provide a non‐contact method operate and shortcomings of electrical devices. With advantages high photoelectric conversion efficiency, adjustable light absorption coefficient, broad spectral range, nanowires (NWs)‐based have attracted wide attention. Herein, better promote applications nanowires‐based for future neuromorphic systems, current progress NWs in UV–vis–IR range are introduced. Furthermore, bridge between NWs‐based system is established. Challenges forthcoming development also discussed. This review may offer vision into design

Language: Английский

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Programmable van‐der‐Waals heterostructure‐enabled optoelectronic synaptic floating‐gate transistors with ultra‐low energy consumption

InfoMat, Journal Year: 2022, Volume and Issue: 4(10)

Published: April 22, 2022

Abstract Van der Waals (vdW) heterostructures provide a unique opportunity to develop various electronic and optoelectronic devices with specific functions by designing novel device structures, especially for bioinspired neuromorphic devices, which require the integration of nonvolatile memory excellent optical responses. Here, we demonstrate programmable synaptic floating‐gate transistor based on multilayer graphene/h‐BN/MoS 2 vdW heterostructures, where both plasticity emulation modulation were successfully realized in single device. The dynamic tunneling process photogenerated carriers through as‐fabricated contributed large ratio (10 5 ) between program erase states. Our can work as functional or silent synapse applying program/erase voltage spike modulatory signal determine response light stimulation, leading operation transistors. Moreover, an ultra‐low energy consumption per event (~2.5 fJ) was obtained state owing suppressed noise current our transistor. This study proposes feasible strategy improve designed highly efficient artificial neural networks. image

Language: Английский

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Artificial Neuron Devices

Chemical Reviews, Journal Year: 2023, Volume and Issue: 123(23), P. 13796 - 13865

Published: Nov. 17, 2023

Efforts to design devices emulating complex cognitive abilities and response processes of biological systems have long been a coveted goal. Recent advancements in flexible electronics, mirroring human tissue's mechanical properties, hold significant promise. Artificial neuron devices, hinging on artificial synapses, bioinspired sensors, actuators, are meticulously engineered mimic the systems. However, this field is its infancy, requiring substantial groundwork achieve autonomous with intelligent feedback, adaptability, tangible problem-solving capabilities. This review provides comprehensive overview recent devices. It starts fundamental principles synaptic explores sensory systems, integrating synapses sensors replicate all five senses. A systematic presentation nervous follows, designed emulate system functions. The also discusses potential applications outlines existing challenges, offering insights into future prospects. We aim for illuminate burgeoning inspiring further innovation captivating area research.

Language: Английский

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Gate-tunable large-scale flexible monolayer MoS2 devices for photodetectors and optoelectronic synapses

Nano Research, Journal Year: 2022, Volume and Issue: 15(6), P. 5418 - 5424

Published: Feb. 21, 2022

Language: Английский

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