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学者姓名：郭太良
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Reservoir computing has attracted considerable attention due to its low training cost. However, existing neuromorphic hardware, focusing mainly on shallow-reservoir computing, faces challenges in providing adequate spatial and temporal scales characteristic for effective computing. Here, we report an ultra-short channel organic neuromorphic vertical transistor with distributed reservoir states. The carrier dynamics used to map signals are enriched by coupled multivariate physics mechanisms, while the vertical architecture employed greatly increases the feedback intensity of the device. Consequently, the device as a reservoir, effectively mapping sequential signals into distributed reservoir state space with 1152 reservoir states, and the range ratio of temporal and spatial characteristics can simultaneously reach 2640 and 650, respectively. The grouped-reservoir computing based on the device can simultaneously adapt to different spatiotemporal task, achieving recognition accuracy over 94% and prediction correlation over 95%. This work proposes a new strategy for developing high-performance reservoir computing networks. Existing neuromorphic hardware, focusing mainly on shallow-reservoir computing, is challenged in providing adequate spatial and temporal scales characteristic for effective computing. Here, Gao et al. report an ultra-short channel organic neuromorphic vertical transistor with distributed reservoir states.
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| GB/T 7714 | Gao, Changsong , Liu, Di , Xu, Chenhui et al. Toward grouped-reservoir computing: organic neuromorphic vertical transistor with distributed reservoir states for efficient recognition and prediction [J]. | NATURE COMMUNICATIONS , 2024 , 15 (1) . |
| MLA | Gao, Changsong et al. "Toward grouped-reservoir computing: organic neuromorphic vertical transistor with distributed reservoir states for efficient recognition and prediction" . | NATURE COMMUNICATIONS 15 . 1 (2024) . |
| APA | Gao, Changsong , Liu, Di , Xu, Chenhui , Xie, Weidong , Zhang, Xianghong , Bai, Junhua et al. Toward grouped-reservoir computing: organic neuromorphic vertical transistor with distributed reservoir states for efficient recognition and prediction . | NATURE COMMUNICATIONS , 2024 , 15 (1) . |
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The external quantum efficiency (EQE) enhancement of different sized GaN micro-light-emitting diodes (mu LEDs) by using localized surface plasmons (LSPs) have been studied. Silver nanoparticles (Ag NPs) are attached to the sidewalls of mu LEDs by spin-coating so as to be effectively coupled with the multiple quantum well (MQW) of mu LEDs and generate the LSPs. In the mu LEDs with 20 x 20 mu m2 large mesas, the LSPs can effectively inhibit the efficiency droop. Compared to the mu LED samples without the LSPs coupling, the EQE has been enhanced by about 8% at a high current density of 20,000 A/cm2. This work confirms the effectiveness of the LSPs technology in improving the mu LED performances, which is originally practiced only on the basal faces of conventional LEDs.
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| GB/T 7714 | Du, Zaifa , Sun, Jie , Feng, Hongjuan et al. Efficiency enhancement of micro-light-emitting diode with shrinking size by localized surface plasmons coupling [J]. | APPLIED PHYSICS B-LASERS AND OPTICS , 2024 , 130 (3) . |
| MLA | Du, Zaifa et al. "Efficiency enhancement of micro-light-emitting diode with shrinking size by localized surface plasmons coupling" . | APPLIED PHYSICS B-LASERS AND OPTICS 130 . 3 (2024) . |
| APA | Du, Zaifa , Sun, Jie , Feng, Hongjuan , Tang, Penghao , Guo, Weiling , Han, Kai et al. Efficiency enhancement of micro-light-emitting diode with shrinking size by localized surface plasmons coupling . | APPLIED PHYSICS B-LASERS AND OPTICS , 2024 , 130 (3) . |
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Non-destructive and accurate inspection of gallium nitride light-emitting diode (GaN-LED) epitaxial wafers is important to GaN-LED technology. However, the conventional electroluminescence inspection, the photoluminescence inspection, and the automated optical inspection cannot fulfill the complex technical requirements. In this work, an inspection method and an operation system based on soft single-contact operation, namely, single-contact electroluminescence (SC-EL) inspection, are proposed. The key component of the SC-EL inspection system is a soft conductive probe with an optical fiber inside, and an AC voltage (70V pp, 100 kHz) is applied between the probe and the ITO electrode under the LED epitaxial wafer. The proposed SC-EL inspection can measure both the electrical and optical parameters of the LED epitaxial wafer at the same time, while not causing mechanical damage to the LED epitaxial wafer. Moreover, it is demonstrated that the SC-EL inspection has a higher electroluminescence wavelength accuracy than photoluminescence inspection. The results show that the non-uniformity of SC-EL inspection is 444.64%, which is much lower than that of photoluminescence inspection. In addition, the obtained electrical parameters from SC-EL can reflect the reverse leakage current (I s) level of the LED epitaxial wafer. The proposed SC-EL inspection can ensure high inspection accuracy without causing damage to the LED epitaxial wafer, which holds promising application in LED technology. © 2024 Chinese Laser Press.
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| GB/T 7714 | Su, H. , Qiu, J. , Li, J. et al. Non-destructive electroluminescence inspection for LED epitaxial wafers based on soft single-contact operation [J]. | Photonics Research , 2024 , 12 (8) : 1776-1784 . |
| MLA | Su, H. et al. "Non-destructive electroluminescence inspection for LED epitaxial wafers based on soft single-contact operation" . | Photonics Research 12 . 8 (2024) : 1776-1784 . |
| APA | Su, H. , Qiu, J. , Li, J. , Chen, R. , Le, J. , Lei, X. et al. Non-destructive electroluminescence inspection for LED epitaxial wafers based on soft single-contact operation . | Photonics Research , 2024 , 12 (8) , 1776-1784 . |
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The potential of organic-inorganic hybrid perovskites, owing to their distinct photoelectric attributes and boosted photoluminescence stability, has garnered substantial attention. Despite comprehensive examinations of the synthesis and optical characteristics of FAPbBr(3) crystals, the understanding of their microstructure's implication on photoelectric applications, their electronic configuration, and electron-phonon interplay remains vague. In this study, we detailed the electronic configuration, phonon dispersion, and vibrational properties using density functional theory. We further calculated the formation enthalpy stability diagram. Characterization and calculation of the crystalline structure were accomplished via Rietveld refinement. Phonon dispersion curves, as well as total and partial phonon densities of states, were also calculated. The theoretical results align well with experimental Fourier infrared and Raman spectra. Beyond elementary characterization, we explored the photoelectric qualities of FAPbBr(3) crystals, thereby reaffirming the outstanding photoelectric attributes and extensive application potential. A non-contact fixed-point lighting device was designed based on the principle of electromagnetic induction coils, which proved the uniformity of crystal luminescence. According to the first principle, FAPbBr(3) possesses a Poisson ratio of 0.32, indicative of high flexibility, emphasizing their superb photoelectric characteristics and vast application scope.
Keyword ：
Contactless Contactless Crystal Crystal First-principle First-principle Perovskites Perovskites Photoelectric Photoelectric
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| GB/T 7714 | Du, Aochen , Zheng, Xingke , Li, Genzhuang et al. Uncovering the structural and photoelectric properties of perovskite crystals by joint multifaceted characterization and theoretical analysis [J]. | JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T , 2024 , 28 : 3988-4000 . |
| MLA | Du, Aochen et al. "Uncovering the structural and photoelectric properties of perovskite crystals by joint multifaceted characterization and theoretical analysis" . | JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T 28 (2024) : 3988-4000 . |
| APA | Du, Aochen , Zheng, Xingke , Li, Genzhuang , Ye, Yun , Chen, Enguo , Xu, Sheng et al. Uncovering the structural and photoelectric properties of perovskite crystals by joint multifaceted characterization and theoretical analysis . | JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T , 2024 , 28 , 3988-4000 . |
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As the core component of a nanopixel light-emitting display, the GaN-based nanoscale light-emitting diode (nLED) faces the problem of low electroluminescence efficiency resulting from the introduction of surface defects when its lateral size is reduced to the nanometer scale. Thus, reducing the surface defect density is an important direction in nLED-related research. This study, with the triboelectric nanogenerator-driven LED as its inspiration, reveals that surface defects have a positive impact on the performance of nLEDs driven by Maxwell's displacement current, and we call the related driving mode the noncarrier injection mode. Through finite element simulations, we studied the dynamic variations of the carrier concentration, the energy band, and the light emission rate to analyze the impact of the behavior of surface defect excitation on device performance. We found that surface defects can act as electron pumps under the combined effect of the reverse electric field and the built-in electric field and can generate carriers through surface defect excitation to increase the intensity of noncarrier injection luminescence, which is completely different from the traditional understanding of surface defects. In addition, we propose a tapered structure to further increase the light emission rate by regulating the behaviors of radiation recombination and surface defect excitation. The results of this work open a new perspective on the impacts of surface defects on nLEDs and provide significant information for additional applications of Maxwell's displacement current. © 2024 Elsevier Ltd
Keyword ：
Maxwell's displacement current Maxwell's displacement current Nano-electronics Nano-electronics Nano-light-emitting diodes Nano-light-emitting diodes Noncarrier injection mode Noncarrier injection mode Surface defects Surface defects
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| GB/T 7714 | Li, W. , Zhang, S. , Wang, K. et al. Positive impact of surface defects on Maxwell's displacement current-driven nano-LEDs: The application of TENG technology [J]. | Nano Energy , 2024 , 129 . |
| MLA | Li, W. et al. "Positive impact of surface defects on Maxwell's displacement current-driven nano-LEDs: The application of TENG technology" . | Nano Energy 129 (2024) . |
| APA | Li, W. , Zhang, S. , Wang, K. , Qiu, J. , Li, J. , Zhu, J. et al. Positive impact of surface defects on Maxwell's displacement current-driven nano-LEDs: The application of TENG technology . | Nano Energy , 2024 , 129 . |
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Memristor-based physical reservoir computing holds significant potential for efficiently processing complex spatiotemporal data, which is crucial for advancing artificial intelligence. However, owing to the single physical node mapping characteristic of traditional memristor reservoir computing, it inevitably induces high repeatability of eigenvalues to a certain extent and significantly limits the efficiency and performance of memristor-based reservoir computing for complex tasks. Hence, this work firstly reports an artificial light-emitting synaptic (LES) device with dual photoelectric output for reservoir computing, and a reservoir system with mixed physical nodes is proposed. The system effectively transforms the input signal into two eigenvalue outputs using a mixed physical node reservoir comprising distinct physical quantities, namely optical output with nonlinear optical effects and electrical output with memory characteristics. Unlike previously reported memristor-based reservoir systems, which pursue rich reservoir states in one physical dimension, our mixed physical node reservoir system can obtain reservoir states in two physical dimensions with one input without increasing the number and types of devices. The recognition rate of the artificial light-emitting synaptic reservoir system can achieve 97.22% in MNIST recognition. Furthermore, the recognition task of multichannel images can be realized through the nonlinear mapping of the photoelectric dual reservoir, resulting in a recognition accuracy of 99.25%. The mixed physical node reservoir computing proposed in this work is promising for implementing the development of photoelectric mixed neural networks and material-algorithm collaborative design. © The Author(s) 2024.
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| GB/T 7714 | Lian, M. , Gao, C. , Lin, Z. et al. Towards mixed physical node reservoir computing: light-emitting synaptic reservoir system with dual photoelectric output [J]. | Light: Science and Applications , 2024 , 13 (1) . |
| MLA | Lian, M. et al. "Towards mixed physical node reservoir computing: light-emitting synaptic reservoir system with dual photoelectric output" . | Light: Science and Applications 13 . 1 (2024) . |
| APA | Lian, M. , Gao, C. , Lin, Z. , Shan, L. , Chen, C. , Zou, Y. et al. Towards mixed physical node reservoir computing: light-emitting synaptic reservoir system with dual photoelectric output . | Light: Science and Applications , 2024 , 13 (1) . |
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Display circuits play a pivotal role in visual information interaction, but traditional 2T1C display circuits suffer from the separation of storage and computation. Neuromorphic display combines the artificial synapse and light-emitting units into the pixel circuit, empowering the display with smart interaction capability. In this work, we built a novel ambient light adaptive neuromorphic display platform (ALAND) by combining a display driver circuit with the optoelectronic synaptic transistor. The optoelectronic synaptic transistor can perform multiple conduction states under the control of light and electric stimulation, including a 4-bit optical modulation grayscale. Moreover, it can make adaptive decisions according to various ambient lights. This work provides a potentially valuable novel strategy for a more comfortable and clearer visual information interaction. © 1963-2012 IEEE.
Keyword ：
Ambient light adaptation Ambient light adaptation neuromorphic display neuromorphic display optoelectronic synaptic transistor optoelectronic synaptic transistor
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| GB/T 7714 | Ren, Z. , Zhang, X. , Liu, S. et al. A Novel Neuromorphic Display Platform for Ambient Light Adaptive Display [J]. | IEEE Transactions on Electron Devices , 2024 , 71 (8) : 5146-5149 . |
| MLA | Ren, Z. et al. "A Novel Neuromorphic Display Platform for Ambient Light Adaptive Display" . | IEEE Transactions on Electron Devices 71 . 8 (2024) : 5146-5149 . |
| APA | Ren, Z. , Zhang, X. , Liu, S. , Liu, D. , Qin, N. , Guo, T. et al. A Novel Neuromorphic Display Platform for Ambient Light Adaptive Display . | IEEE Transactions on Electron Devices , 2024 , 71 (8) , 5146-5149 . |
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The human brain possesses a remarkable ability to memorize information with the assistance of a specific external environment. Therefore, mimicking the human brain's environment-enhanced learning abilities in artificial electronic devices is essential but remains a considerable challenge. Here, a network of Ag nanowires with a moisture-enhanced learning ability, which can mimic long-term potentiation (LTP) synaptic plasticity at an ultralow operating voltage as low as 0.01 V, is presented. To realize a moisture-enhanced learning ability and to adjust the aggregations of Ag ions, we introduced a thin polyvinylpyrrolidone (PVP) coating layer with moisture-sensitive properties to the surfaces of the Ag nanowires of Ag ions. That Ag nanowire network was shown to exhibit, in response to the humidity of its operating environment, different learning speeds during the LTP process. In high-humidity environments, the synaptic plasticity was significantly strengthened with a higher learning speed compared with that in relatively low-humidity environments. Based on experimental and simulation results, we attribute this enhancement to the higher electric mobility of the Ag ions in the water-absorbed PVP layer. Finally, we demonstrated by simulation that the moisture-enhanced synaptic plasticity enabled the device to adjust connection weights and delivery modes based on various input patterns. The recognition rate of a handwritten data set reached 94.5% with fewer epochs in a high-humidity environment. This work shows the feasibility of building our electronic device to achieve artificial adaptive learning abilities.
Keyword ：
Ag nanofilament Ag nanofilament Ag nanowire network Ag nanowire network electricmobility electricmobility long-term potentiation long-term potentiation moisture-enhanced learning ability moisture-enhanced learning ability
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| GB/T 7714 | Qiu, Jiawen , Li, Junlong , Li, Wenhao et al. Silver Nanowire Networks with Moisture-Enhanced Learning Ability [J]. | ACS APPLIED MATERIALS & INTERFACES , 2024 , 16 (8) : 10361-10371 . |
| MLA | Qiu, Jiawen et al. "Silver Nanowire Networks with Moisture-Enhanced Learning Ability" . | ACS APPLIED MATERIALS & INTERFACES 16 . 8 (2024) : 10361-10371 . |
| APA | Qiu, Jiawen , Li, Junlong , Li, Wenhao , Wang, Kun , Xiao, Tianyu , Su, Hao et al. Silver Nanowire Networks with Moisture-Enhanced Learning Ability . | ACS APPLIED MATERIALS & INTERFACES , 2024 , 16 (8) , 10361-10371 . |
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The processing of multicolor noisy images in visual neuromorphic devices requires selective absorption at specific wavelengths; however, it is difficult to achieve this because the spectral absorption range of the device is affected by the type of material. Surprisingly, the absorption range of perovskite materials can be adjusted by doping. Herein, a CdCl2 co-doped CsPbBr3 nanocrystal-based photosensitive synaptic transistor (PST) is reported. By decreasing the doping concentration, the response of the PST to short-wavelength light is gradually enhanced, and even weak light of 40 μW·cm-2 can be detected. Benefiting from the excellent color selectivity of the PST device, the device array is applied to feature extraction of target blue items and removal of red and green noise, which results in the recognition accuracy of 95% for the noisy MNIST data set. This work provides new ideas for the application of novel transistors integrating sensors and storage computing. © 2024 American Chemical Society.
Keyword ：
co-doping perovskite co-doping perovskite color selectivity color selectivity neuromorphic computing neuromorphic computing synaptic phototransistor synaptic phototransistor target object recognition target object recognition
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| GB/T 7714 | Zhao, W. , Lin, Z. , Chen, H. et al. Perovskite-Doped Modulated Color-Selective Photosynaptic Transistors for Target Object Recognition [J]. | Nano Letters , 2024 , 24 (32) : 9937-9945 . |
| MLA | Zhao, W. et al. "Perovskite-Doped Modulated Color-Selective Photosynaptic Transistors for Target Object Recognition" . | Nano Letters 24 . 32 (2024) : 9937-9945 . |
| APA | Zhao, W. , Lin, Z. , Chen, H. , Xu, S. , Chen, E. , Guo, T. et al. Perovskite-Doped Modulated Color-Selective Photosynaptic Transistors for Target Object Recognition . | Nano Letters , 2024 , 24 (32) , 9937-9945 . |
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在"中国制造 2025"以及科教兴国的战略背景下,加强电子工科人才素质培养已成为我国提升科技产品质量和行业竞争力的关键基础和核心,也是传统电子工科专业焕发新活力的重要途径.本文以固体物理、半导体器件物理等专业基础课为例,探索电子工科背景下在其专业基础课教学中引入素质教育元素,并借助多元化创新性教学方法,进一步丰富专业基础课的理论内容,进而将其融入专业基础课的教学与实践中,从而培养并提升学生创新能力和综合素质,满足"中国制造 2025"及科教兴国背景下社会对电子工科创新型人才的需求.
Keyword ：
专业基础课 专业基础课 创新性教学改革 创新性教学改革 电子工科 电子工科 素质教育 素质教育
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| GB/T 7714 | 杨尊先 , 郭太良 . 电子工科背景下专业基础课的素质教育教学改革研究 [J]. | 山西青年 , 2024 , (11) : 64-66 . |
| MLA | 杨尊先 et al. "电子工科背景下专业基础课的素质教育教学改革研究" . | 山西青年 11 (2024) : 64-66 . |
| APA | 杨尊先 , 郭太良 . 电子工科背景下专业基础课的素质教育教学改革研究 . | 山西青年 , 2024 , (11) , 64-66 . |
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