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学者姓名：陈惠鹏
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Abstract ：
Flexible organic synaptic transistors (FOSTs) are crucial for neuromorphic computing due to their flexibility and biocompatibility, yet their mechanical stability under strain is underexplored. This study enhances FOST resilience by optimizing the neutral-axis alignment through layer thickness adjustments and incorporation of a polyimide layer, aligning the axis closer to the heterojunction interface. This strategy significantly reduces strain-induced defects, minimizing excitatory postsynaptic current (EPSC) degradation from 21.19% to 13.34% after 100 bending cycles. Optimized FOSTs demonstrate a remarkable pattern recognition accuracy of 90.4% after bending, significantly outperforming the 76.8% achieved by standard devices. These findings present a straightforward and effective approach to improve the mechanical stability and synaptic performance of FOSTs, advancing the development of durable bio-inspired computing systems.
Keyword ：
Accuracy Accuracy Bending Bending Films Films Flexible synaptic transistor Flexible synaptic transistor mechanical stability mechanical stability Neuromorphics Neuromorphics neutral axis neutral axis pattern recognition pattern recognition Pattern recognition Pattern recognition Performance evaluation Performance evaluation Strain Strain Substrates Substrates Thermal stability Thermal stability Transistors Transistors
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| GB/T 7714 | Ma, Xiao , Zhuang, Bingyong , Chen, Huipeng . Optimizing Neutral-Axis Alignment for Improved Stability and Synaptic Performance in Flexible Transistors [J]. | IEEE ELECTRON DEVICE LETTERS , 2025 , 46 (3) : 444-447 . |
| MLA | Ma, Xiao 等. "Optimizing Neutral-Axis Alignment for Improved Stability and Synaptic Performance in Flexible Transistors" . | IEEE ELECTRON DEVICE LETTERS 46 . 3 (2025) : 444-447 . |
| APA | Ma, Xiao , Zhuang, Bingyong , Chen, Huipeng . Optimizing Neutral-Axis Alignment for Improved Stability and Synaptic Performance in Flexible Transistors . | IEEE ELECTRON DEVICE LETTERS , 2025 , 46 (3) , 444-447 . |
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Empowering displays with intelligent functions enables their application in intelligent image processing and intelligent interactive displays, which is the combination of future display and artificial intelligence technologies. However, existing display technologies face significant processing and transmission burdens due to their conventional hardware separation architecture, which separates memory from the processor and display module from the processing module. To address these challenges, a highly integrated memory- processing-display intelligent light-emitting hardware (MPDIH) capable of information generation, memory, processing, and visualization is proposed. The MPDIH, based on an organic light-sensitive layer and activated by ultraviolet light irradiation, exhibits unique photoinhibition behavior attributed to the reverse light-induced electric field formed by the directional arrangement of photo-generated excitons. This behavior enables dynamic regulation and autonomous learning during the device training process. Leveraging this phenomenon, intelligent image processing is successfully demonstrated, achieving a significant contrast improvement with a maximum enhancement of 261% compared to unprocessed raw signals. Furthermore, the memory-processing-display intelligent image processing scheme enables fashion MNIST image recognition using an artificial neural network, and achieves noticeably higher recognition accuracy (>89%) compared to the original fuzzy images (<59%). Consequently, the proposed memory-processing-display intelligent light-emitting hardware holds promise for future applications in integrated photonic systems and interactive artificial intelligence displays.
Keyword ：
light-emitting device light-emitting device memory-processing-display structure memory-processing-display structure organic light-sensitive layer organic light-sensitive layer photoinhibition behavior photoinhibition behavior
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| GB/T 7714 | Shan, Liuting , Yu, Rengjian , Chen, Zhenjia et al. Memory-Processing-Display Integrated Hardware with All-In-One Structure for Intelligent Image Processing [J]. | ADVANCED FUNCTIONAL MATERIALS , 2024 , 34 (25) . |
| MLA | Shan, Liuting et al. "Memory-Processing-Display Integrated Hardware with All-In-One Structure for Intelligent Image Processing" . | ADVANCED FUNCTIONAL MATERIALS 34 . 25 (2024) . |
| APA | Shan, Liuting , Yu, Rengjian , Chen, Zhenjia , Zhang, Xianghong , Gao, Changsong , Lian, Minrui et al. Memory-Processing-Display Integrated Hardware with All-In-One Structure for Intelligent Image Processing . | ADVANCED FUNCTIONAL MATERIALS , 2024 , 34 (25) . |
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数字化时代,高度信息化已成为日常生活的常态.显示技术在人机交互中扮演着至关重要的角色.然而,传统的智能显示技术逐渐难以适应日益复杂的人机交互环境.在这一背景下,神经形态技术作为一种新兴的前沿技术,弥补了现有显示技术的不足之处.通过将神经形态技术与传统显示技术有机结合,可以充分发挥其在传感、驱动和显示方面的巨大优势.有机电子器件具有低制备成本、材料多样性等优势,能赋予基于其构建的神经形态器件丰富的功能性.因此,神经形态显示有望成为有机电子学未来在显示技术发展的重要方向之一,可以为日益复杂的人机交互环境提供更出色的解决方案.本综述全面总结了有机神经形态技术在显示技术中的最新进展,归纳了其在神经形态显示中的3个重要发展方向,并探讨了其最先进的设计和未来可能的发展.
Keyword ：
人工神经元 人工神经元 显示技术 显示技术 有机发光突触 有机发光突触 神经形态器件 神经形态器件 神经形态显示 神经形态显示
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| GB/T 7714 | 刘帅 , 张翔鸿 , 刘狄 et al. 面向神经形态显示的有机电子材料与器件 [J]. | 中国科学:化学 , 2024 , 54 (04) : 510-520 . |
| MLA | 刘帅 et al. "面向神经形态显示的有机电子材料与器件" . | 中国科学:化学 54 . 04 (2024) : 510-520 . |
| APA | 刘帅 , 张翔鸿 , 刘狄 , 吴炳坤 , 陈惠鹏 . 面向神经形态显示的有机电子材料与器件 . | 中国科学:化学 , 2024 , 54 (04) , 510-520 . |
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Faced with a huge amount of information, the brain relies on attention mechanisms to highly select information for efficient processing. The degree of processing capacity required for information in different scenarios also varies, and the brain relies on attention to significantly enhance or weaken its ability to process information. However, many studies on attention only focus on the behavioral differences between attention and no attention, without further research on the degree of regulation of attention. The application scenarios of artificial vision systems are so complex that we need to regulate the degree of attention to cope with different information processing intensities. In this work, we demonstrated an optoelectronic synaptic transistor based on the mixture of PDVT-10 and MXene-TiO2, and for the first time imitated the mechanism of attention regulation signals at the biological level. Based on the attention mechanism, for slow-moving objects, we enhance the ability of data processing to prevent data loss caused by undersampling, and for fast-moving objects, we weaken the ability of data processing to prevent data redundancy caused by oversampling. In addition, our device array determines the location of moving targets and sends them to the YOLO network for dynamic target detection. Our research results show that the device realizes a hierarchical response to adapt to objects with different motion speeds, which expands the application scenarios of optoelectronic synapses. Faced with a huge amount of information, the brain relies on attention mechanisms to highly select information for efficient processing.
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| GB/T 7714 | Qin, Ningpu , Ren, Zexuan , Fan, Yuyang et al. MXene-based optoelectronic synaptic transistors utilize attentional mechanisms to achieve hierarchical responses [J]. | JOURNAL OF MATERIALS CHEMISTRY C , 2024 , 12 (20) : 7197-7205 . |
| MLA | Qin, Ningpu et al. "MXene-based optoelectronic synaptic transistors utilize attentional mechanisms to achieve hierarchical responses" . | JOURNAL OF MATERIALS CHEMISTRY C 12 . 20 (2024) : 7197-7205 . |
| APA | Qin, Ningpu , Ren, Zexuan , Fan, Yuyang , Qin, Congyao , Liu, Changfei , Peng, Wenhong et al. MXene-based optoelectronic synaptic transistors utilize attentional mechanisms to achieve hierarchical responses . | JOURNAL OF MATERIALS CHEMISTRY C , 2024 , 12 (20) , 7197-7205 . |
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The extensive application of increasingly sophisticated artificial intelligence in life has promoted the artificial morality (AM) issue. The establishment and implementation of artificial ethics for robots are usually solved by passive program instructions, while active realization at the hardware level remains challenging. Here, inspired by cognitive psychology and neurophysiology, a typical AM device is demonstrated. The first of the three laws of robotics is realized in this device by judging good and evil and solving moral dilemmas. The device exhibits the three states of ego, id, and superego and the six humanities of the categorical imperative, instinctive disregard, instinctive impulse, moral deontology, utilitarianism, and egoism. The origin of morality is revealed in terms of electronics, which is an adversarial collaboration between the subconscious and the conscious. This work provides a practicable path for the consciousness generation and moral formation of artificial intelligence in the future.
Keyword ：
artificial morality artificial morality neuromorphic device neuromorphic device subconsciousness subconsciousness three laws of robotics three laws of robotics transistor transistor
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| GB/T 7714 | Chen, Shaomin , Yu, Rengjian , Zou, Yi et al. Artificial morality basic device: transistor for mimicking morality logics [J]. | SCIENCE CHINA-MATERIALS , 2024 , 67 (2) : 608-618 . |
| MLA | Chen, Shaomin et al. "Artificial morality basic device: transistor for mimicking morality logics" . | SCIENCE CHINA-MATERIALS 67 . 2 (2024) : 608-618 . |
| APA | Chen, Shaomin , Yu, Rengjian , Zou, Yi , Yu, Xipeng , Liu, Changfei , Hu, Yuanyuan et al. Artificial morality basic device: transistor for mimicking morality logics . | SCIENCE CHINA-MATERIALS , 2024 , 67 (2) , 608-618 . |
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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 flexible organic phototransistors (OPTs) are crucial for next-generation wearable systems for applications where large mechanical deformation is involved. However, most of the reported OPTs utilizing the field-effect transistor (FET) architecture suffer from undesired mechanical flexibility and limited performance due to their interfacial charge transport and inherently low transconductance; moreover, their pi-conjugated semiconductor polymers that serve as channels lack specific healing sites, making it difficult to intrinsically heal themselves. Herein, a more flexible and high-performance OPT with enhanced interfacial charge transport via novel volumetric channel and strong healing capability is developed for the first time. This OPT utilizes an organic electrochemical transistor architecture that consists of intrinsically healing conducting polymer/hydrogel composite films with three-dimensional volumetric channels. Such devices not only efficiently restore their mechanical and electrical performance in 100 ms after undergoing severe damage but also exhibit excellent mechanical flexibility without obviously degraded performance. More importantly, the self-healing OPTs exhibit high performance with a responsivity as high as 1.01 x 10(5) A W-1, detectivity of 1.75 x 10(12) Jones, and high external quantum efficiency of 3.03 x 104%, higher than those of the majority of the reported FET-based OPTs. All of these results indicate that these novel and intrinsically self-healing OPTs with volumetric channels are ideal for use in next-generation wearable devices.
Keyword ：
electrochemical transistor electrochemical transistor flexibility flexibility healing healing interface interface phototransistor phototransistor volumetric channel volumetric channel
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| GB/T 7714 | Yan, Yujie , Zhu, Xiaoting , Zhang, Guocheng et al. Intrinsically healing conducting polymer/hydrogel nanocomposite films and their novel volumetric channel for high-performance, flexible, and healable organic phototransistors [J]. | SCIENCE CHINA-MATERIALS , 2024 , 67 (5) : 1491-1499 . |
| MLA | Yan, Yujie et al. "Intrinsically healing conducting polymer/hydrogel nanocomposite films and their novel volumetric channel for high-performance, flexible, and healable organic phototransistors" . | SCIENCE CHINA-MATERIALS 67 . 5 (2024) : 1491-1499 . |
| APA | Yan, Yujie , Zhu, Xiaoting , Zhang, Guocheng , Wang, Xiumei , Han, Xiao , Li, Weizhou et al. Intrinsically healing conducting polymer/hydrogel nanocomposite films and their novel volumetric channel for high-performance, flexible, and healable organic phototransistors . | SCIENCE CHINA-MATERIALS , 2024 , 67 (5) , 1491-1499 . |
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Efficient in-sensor computing necessitates linear, bidirectional, and centrosymmetric photoresponse weight updates; however, the realization of these attributes poses a persistent challenge, with most photosensor devices achieving linear analog weight updates while falling short of accomplishing bidirectional and centrosymmetric characteristics. Here, the development of a quantum dot (QD)-based bulk heterojunction synaptic transistor (QBST) with multi-factor modulation through surface ligand engineering of blend QDs is reported. By controlling the charge transmission between QDs and the semiconductor, the QBST device enables tunable fading memory, which transforms linear weight updates in short-chain devices into linear, bidirectional, and unprecedented centrosymmetric optical synaptic responses in long-chain devices. Moreover, through the synergy of chemical and electric factors, the convolutional kernel of QBSTs-based convolutional neural network realizes enhanced recognition for complex noisy fashion-costume images, achieving an impressive 90.3% accuracy in the long-chain device, highlighting the efficiency of centrosymmetric weight updates. The results demonstrate that surface ligand engineering offers a promising approach for customizable synaptic modulation, facilitating energy- and time-efficient in-sensor computing. By modulating the ligand chain length of perovskite QDs, bulk heterojunction synaptic transistors can achieve multi-factor optical synaptic modulation, enabling tunable fading memory. Notably, the optical synaptic weight transforms linear weight updates in short-chain devices into linear, bidirectional, and unprecedented centrosymmetric optical synaptic responses in long-chain devices, showcasing their tremendous potential in high-accuracy in-sensor computing applications. image
Keyword ：
bulk heterojunction bulk heterojunction in-sensor computing in-sensor computing multi-factor modulation multi-factor modulation organic synaptic transistor organic synaptic transistor quantum dot ligand engineering quantum dot ligand engineering
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| GB/T 7714 | Li, Enlong , Wang, Xiumei , Yu, Xipeng et al. Multi-Factor Modulated Organic Bulk Heterojunction Synaptic Transistor Enabled by Ligand Engineering for Centrosymmetric In-Sensor Computing [J]. | ADVANCED FUNCTIONAL MATERIALS , 2024 , 34 (26) . |
| MLA | Li, Enlong et al. "Multi-Factor Modulated Organic Bulk Heterojunction Synaptic Transistor Enabled by Ligand Engineering for Centrosymmetric In-Sensor Computing" . | ADVANCED FUNCTIONAL MATERIALS 34 . 26 (2024) . |
| APA | Li, Enlong , Wang, Xiumei , Yu, Xipeng , Yu, Rengjian , Li, Wenwu , Guo, Tailiang et al. Multi-Factor Modulated Organic Bulk Heterojunction Synaptic Transistor Enabled by Ligand Engineering for Centrosymmetric In-Sensor Computing . | ADVANCED FUNCTIONAL MATERIALS , 2024 , 34 (26) . |
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Inspired by the retina, artificial optoelectronic synapses have groundbreaking potential for machine vision. The field-effect transistor is a crucial platform for optoelectronic synapses that is highly sensitive to external stimuli and can modulate conductivity. On the basis of the decent optical absorption, perovskite materials have been widely employed for constructing optoelectronic synaptic transistors. However, the reported optoelectronic synaptic transistors focus on the static processing of independent stimuli at different moments, while the natural visual information consists of temporal signals. Here, we report CsPbBrI2 nanowire-based optoelectronic synaptic transistors to study the dynamic responses of artificial synaptic transistors to time-varying visual information for the first time. Moreover, on the basis of the dynamic synaptic behavior, a hardware system with an accuracy of 85% is built to the trajectory of moving objects. This work offers a new way to develop artificial optoelectronic synapses for the construction of dynamic machine vision systems.
Keyword ：
machine vision machine vision neuromorphic computing neuromorphic computing optoelectronic synaptic transistor optoelectronic synaptic transistor perovskite nanowires perovskite nanowires
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| GB/T 7714 | Zhang, Xianghong , Wang, Congyong , Sun, Qisheng et al. Inorganic Halide Perovskite Nanowires/Conjugated Polymer Heterojunction-Based Optoelectronic Synaptic Transistors for Dynamic Machine Vision [J]. | NANO LETTERS , 2024 , 24 (14) : 4132-4140 . |
| MLA | Zhang, Xianghong et al. "Inorganic Halide Perovskite Nanowires/Conjugated Polymer Heterojunction-Based Optoelectronic Synaptic Transistors for Dynamic Machine Vision" . | NANO LETTERS 24 . 14 (2024) : 4132-4140 . |
| APA | Zhang, Xianghong , Wang, Congyong , Sun, Qisheng , Wu, Jianxin , Dai, Yan , Li, Enlong et al. Inorganic Halide Perovskite Nanowires/Conjugated Polymer Heterojunction-Based Optoelectronic Synaptic Transistors for Dynamic Machine Vision . | NANO LETTERS , 2024 , 24 (14) , 4132-4140 . |
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Electrocardiograph signals reflect the current state of the heart and have great significance to the clinical diagnosis of the heart. Convolutional neural networks perform excellently in electrocardiograph pattern recognition. However, CNNs processing ECG signals need to convert them from 1D to 2D, leading to additional circuit and time costs in hardware. Here, a convolution organic transistor (COT) is proposed for monitoring the ECG with CNNs. Based on the surface electric field effect and trap effect, COT can directly process 1D ECG data without complex preprocessing. It can complete the convolution calculation of ECG signals approximate to 20 000 times per second in theory and reduce the number of devices by 83% compared to conventional arrays. Further, actual ECG signals are measured and input into the COT, which can initially recognize the type of ECG abnormality. Finally, a point calculation detection system is established with 96.2% recognition accuracy in the five-heartbeat classification task by combining the 1D CNN. This work proposes an in suit convolutional organic transistor, which can directly process 1D ECG data without complex preprocessing, realizing the preliminary judgment of the type of abnormal ECG at the level of a single device. This strategy provides an effective scheme for the development of real-time and portable ECG monitoring equipment. image
Keyword ：
1D convolution calculation 1D convolution calculation 1D ECG data processing 1D ECG data processing convolution organic transistor convolution organic transistor ECG monitoring ECG monitoring
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| GB/T 7714 | Cheng, Enping , Zhang, Xianghong , Wu, Jianxin et al. Point Calculation Detection System Based on In Suit Convolution Transistor for Clinical Diagnosis of Heart Disease [J]. | ADVANCED FUNCTIONAL MATERIALS , 2024 , 34 (33) . |
| MLA | Cheng, Enping et al. "Point Calculation Detection System Based on In Suit Convolution Transistor for Clinical Diagnosis of Heart Disease" . | ADVANCED FUNCTIONAL MATERIALS 34 . 33 (2024) . |
| APA | Cheng, Enping , Zhang, Xianghong , Wu, Jianxin , Chen, Hao , Liu, Di , Fan, Yuyang et al. Point Calculation Detection System Based on In Suit Convolution Transistor for Clinical Diagnosis of Heart Disease . | ADVANCED FUNCTIONAL MATERIALS , 2024 , 34 (33) . |
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