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Article
Nanoscience & Nanotechnology
Yong Zheng et al.
Summary: By using kraft lignin (KL) as a raw material, a lignin-based epoxy vitrimer with reprocessability and environmental friendliness was successfully fabricated. This vitrimer showed good light-to-heat capability and could activate dynamic 3D cross-linking networks for repair. The energy consumption of the light-controlled remolding process was significantly lower compared to conventional hot-press methods.
ADVANCED COMPOSITES AND HYBRID MATERIALS
(2023)
Review
Chemistry, Multidisciplinary
Dandan Hao et al.
Summary: Massive data processing with high efficiency and low power consumption is needed for the development of artificial intelligence and information technology. The current computing systems with separated memory and processor consume a large amount of energy and have a slow running speed during massive data processing. To address this issue, the brain-inspired neuromorphic computing system has been developed, which provides hardware support for emulating biological synaptic functions and achieving highly intensive data processing with low power consumption. The optoelectronic synaptic device (OSD), as a neuromorphic device, is considered an ideal replacement for the von Neumann-based computer due to its ultrafast signal transmission, large bandwidth, low energy consumption, and wireless communication. Metal halide perovskites (MHPs), with their unique optoelectronic properties, have gained increasing attention as effective photosensitive materials in OSDs. This review introduces the recent progress on MHPs-based OSDs (MHPs-OSDs), including the structures and properties of MHPs, and the architectures and performance characteristics of MHPs-OSDs. The applications of MHPs-OSDs are also presented. Finally, the outlook and opportunities of MHPs-OSDs are discussed.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Review
Polymer Science
Haerang Lee et al.
Summary: The recent development of neuromorphic devices has been primarily driven by the increasing demand for brain-inspired computing in human-like machines and human-machine interfaces. In this review, the focus is on semiconducting polymer-based artificial synapses that mimic neural communication behaviors. Advances in semiconducting polymer-based neuromorphic bioelectronics are expected to accelerate the commercialization of human-machine interfacial systems.
JOURNAL OF POLYMER SCIENCE
(2022)
Review
Chemistry, Multidisciplinary
Nasir Ilyas et al.
Summary: Neuromorphic photonics system based on the principle of biological brain is seen as a potential solution to the bottleneck in classical computing. Optoelectronic synaptic devices using nanostructured materials show promising advantages in light-matter interaction and fast carrier dynamics.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Materials Science, Multidisciplinary
Qingqing Wang et al.
Summary: The study found that the PPC behavior in organic phototransistors is influenced by oxygen in the air, and successfully achieved organic memory phototransistors with bistable current states and long retention times.
ORGANIC ELECTRONICS
(2022)
Article
Nanoscience & Nanotechnology
Yong Cao et al.
Summary: The study introduces a light-stimulated synaptic device based on a phototransistor, achieving efficient photon-to-electron conversion and an intrinsic high-gain mechanism. By combining the advantages of appropriate materials and device structure, photosensitive synapses for photonic neural networks are provided.
ADVANCED ELECTRONIC MATERIALS
(2022)
Article
Nanoscience & Nanotechnology
Huayu Liu et al.
Summary: In this study, a nanocellulose-based carbon aerogel with excellent compressibility and elasticity was proposed for high-performance flexible supercapacitors. By using cellulose nanofibrils and reduced graphene oxide, the assembled supercapacitors exhibited good cycle stability and excellent electrochemical properties.
ADVANCED COMPOSITES AND HYBRID MATERIALS
(2022)
Article
Chemistry, Physical
Dandan Hao et al.
Summary: This study combines the environmentally stable and friendly optoelectronic material BiI3 with SWCNTs to fabricate OSDs, which exhibit good properties of perceiving and memorizing optical information as well as typical synaptic behaviors. The photo-response of the devices is independent of pulse light wavelength, and they demonstrate reliable environmental stability, showing the feasibility of BiI3/SWCNTs-based OSDs for simulating human visual memory.
Article
Nanoscience & Nanotechnology
Zheng Zhang et al.
Summary: This work focuses on the fabrication and characterization of flexible polystyrene/graphene (PS/GR) composites with epsilon-near-zero (ENZ) properties at radio frequency. The addition of graphene nanosheets in PS matrix led to the formation of a continuous conductive network, resulting in the observation of ENZ behavior at around 920 kHz. This research demonstrates the potential of flexible PS/GR composites in applications such as invisibility cloaks, drug delivery, and soft robotics.
ADVANCED COMPOSITES AND HYBRID MATERIALS
(2022)
Review
Nanoscience & Nanotechnology
Peitao Xie et al.
Summary: Dielectric constant is a physical parameter that determines the response of materials to electromagnetic waves or electrical field. Negative dielectric property, a key for constructing metamaterials, has unique electromagnetic properties. Recent advances have demonstrated the feasibility of achieving negative dielectric property in heterogeneous composites.
ADVANCED COMPOSITES AND HYBRID MATERIALS
(2022)
Article
Nanoscience & Nanotechnology
Kun Liu et al.
Summary: The rapid popularization of modern communication technologies, such as 5G, has led to the deterioration of the electromagnetic environment. To address the issues of electromagnetic interference and radiation, the development of electromagnetic shielding materials is crucial. In this study, a unique layered nanopaper, made through a self-assembly process, was reported. The nanopaper showed excellent tensile strength and high conductivity due to the formation of conductive paths at low addition levels. Moreover, the optimized nanopaper exhibited a high electromagnetic shielding effectiveness in the X band, suggesting potential applications in various fields.
ADVANCED COMPOSITES AND HYBRID MATERIALS
(2022)
Article
Nanoscience & Nanotechnology
Mingxiang Liu et al.
Summary: This study investigates the frequency dispersion mechanism of negative permittivity in carbon nanotubes (CNTs)/epoxy composites. The Debye model is used to describe the dielectric relaxation when the CNT content is below the percolation threshold, while the Drude model explains the negative permittivity resulting from the plasma oscillation of free electrons in CNT networks above the percolation threshold. A novel Debye-Drude model is proposed to explain the low-frequency dispersion and weakly negative permittivity observed when the CNT content is slightly higher than the percolation threshold.
ADVANCED COMPOSITES AND HYBRID MATERIALS
(2022)
Review
Nanoscience & Nanotechnology
Meng Zhang et al.
Summary: This paper discusses the background of nanogenerators, classifies them, presents the latest research progress on cellulose-based nanogenerators, summarizes strategies to improve their output performance, and highlights the significance of using cellulose to address environmental pollution caused by traditional polymers. Challenges and future directions of cellulose-based nanogenerators are also proposed.
ADVANCED COMPOSITES AND HYBRID MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Xin Wang et al.
Summary: This study demonstrates optoelectronic synaptic transistors based on stable TPP, showing high photosensitivity and tunable synaptic plasticity, with potential in the development of artificial visual systems.
Article
Nanoscience & Nanotechnology
Jiahui Liu et al.
Summary: This study introduces a light-stimulated synaptic phototransistor based on a CsPbBr3/organic semiconductor hybrid film that exhibits high specific detectivity and synaptic functions triggered by a light signal with low power. The device shows promising potential for artificial visual systems with the ability to enlarge image contrast and improve image recognition accuracy through changing light intensity or wavelength.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Review
Nanoscience & Nanotechnology
Wen Huang et al.
Summary: This review discusses synaptic devices that mimic synaptic functions based on electrical and optical signals, categorizing them into electrically stimulated, optically stimulated, and photoelectric synergetic synaptic devices. The working mechanisms, progress, and application scenarios of these devices are compared and analyzed, and the performances and future development of these synaptic devices for efficient neuromorphic systems are prospected.
NANO-MICRO LETTERS
(2021)
Article
Materials Science, Multidisciplinary
Tianqi Chen et al.
Summary: Artificial synapses based on vertical organic field-effect transistors (VOFETs) show shorter carrier transmission distances and more stable source-drain currents, allowing for low working voltage and ultra-low power consumption. They can successfully simulate typical synaptic behavior and enable image contrast enhancement.
ADVANCED OPTICAL MATERIALS
(2021)
Article
Multidisciplinary Sciences
Junyao Zhang et al.
Summary: This study presents optoelectronic synaptic transistors based on Ir(ppy)(3) and PQT-12 heterojunction structure, demonstrating optical perception efficiency and color recognition capability of the synaptic transistor arrays. The wavelength-tunability of synaptic behaviors enables the mimicry of mood-modulated visual learning and memorizing processes of humans, successfully showcasing the computational dynamics of synaptic outputs.
Article
Nanoscience & Nanotechnology
Ruizhi Wang et al.
Summary: In this study, lead-free perovskite CsBi3I10 is used as a photoactive material to fabricate organic synaptic transistors with excellent stability and simulated synaptic functions. The devices exhibit promising performance for neuromorphic computing applications.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Chemistry, Multidisciplinary
Seongin Hong et al.
Summary: Neuromorphic engineering has attracted attention for achieving next-generation artificial intelligence technologies in the field of electronics and photonics. An active pixel sensor array for neuromorphic photonics, based on an amorphous oxide semiconductor heterostructure, has been demonstrated to emulate human visual memory. The phototransistors in the pixels exhibit both photonic potentiation and depression characteristics, and the visual memory and forgetting behaviors can be successfully demonstrated without any software or simulation. This study provides valuable information for other neuromorphic devices and systems for next-generation artificial intelligence technologies.
Article
Chemistry, Physical
Syed Zahid Hassan et al.
Summary: Crystallographic compatibility, quantum yield, and fatigue resistance are three important factors that diarylethene should satisfy simultaneously for high-performance photoprogrammable polymer field-effect transistors. The success of optimized DAE structure for high-performance photoprogrammable polymer FETs can be achieved through strategic substitution of functional groups at the specific reaction site of DAE.
CHEMISTRY OF MATERIALS
(2021)
Article
Materials Science, Multidisciplinary
Dandan Hao et al.
Summary: Lead halide perovskites have limitations due to toxicity and device complexity, but lead-free double perovskite Cs2AgSbBr6 shows promise in photonic synaptic devices. Cs2AgSbBr6 devices exhibit reproducibility, stability, and can mimic various synaptic behaviors. Furthermore, logic functions of OR and AND operations are achieved, indicating the potential of Cs2AgSbBr6 in neuromorphic computation.
ADVANCED MATERIALS TECHNOLOGIES
(2021)
Article
Chemistry, Multidisciplinary
Cong Zhang et al.
Summary: Inspired by the powerful functionalities of the human brain, artificial synapses are continuously innovated for brain-like neuromorphic electronics construction. This study successfully designed synaptic transistors with organic single-crystalline nanoribbon active layer and elastic embedded photolithographic electrodes, achieving a minimum energy consumption far lower than biological synapses, and capable of simulating various biological plastic behaviors under different strains.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Lin Yang et al.
Summary: This study demonstrates a highly transparent and flexible artificial synapse with a two-terminal architecture that emulates photonic synaptic functionalities, exhibiting characteristics such as paired-pulse facilitation, short/long-term memory, and synaptic behavior analogous to that of the human eye. The ability to detect deep red light without impacting synaptic behavior indicates dual-mode operation potential, contributing to higher integration density of transparent 3D stacking memristors and potential applications in optical learning, memory, computing, and visual recognition.
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(2021)
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ADVANCED ELECTRONIC MATERIALS
(2020)
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(2020)
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(2020)
Article
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Ben Yang et al.
ADVANCED MATERIALS
(2020)
Review
Computer Science, Information Systems
Liting Liu et al.
SCIENCE CHINA-INFORMATION SCIENCES
(2020)
Article
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Taimur Ahmed et al.
Article
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Ruofei Jia et al.
ADVANCED FUNCTIONAL MATERIALS
(2019)
Review
Chemistry, Multidisciplinary
Shilei Dai et al.
ADVANCED FUNCTIONAL MATERIALS
(2019)
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Huilin Li et al.
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Li Zhou et al.
Review
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ADVANCED FUNCTIONAL MATERIALS
(2019)
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Haiting Wang et al.
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(2019)
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ACS APPLIED MATERIALS & INTERFACES
(2018)
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Alexander L. Efros et al.
NATURE NANOTECHNOLOGY
(2018)
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(2018)
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(2018)
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Xiao-Jian She et al.
ADVANCED MATERIALS
(2017)
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Li Qiang Zhu et al.
ACS APPLIED MATERIALS & INTERFACES
(2016)
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Wentao Xu et al.
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Zhe Qi et al.
APPLIED PHYSICS LETTERS
(2013)
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Guobing Zhang et al.
SOLAR ENERGY MATERIALS AND SOLAR CELLS
(2011)
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LF Abbott et al.
