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学者姓名：陈惠鹏
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Abstract ：
Vibration signals from buildings are crucial for analysis, safety prediction, and early warnings. However, acquiring and analyzing these signals requires complex systems including sensor systems, storage devices, and computing equipment. All the part of the system rely on external power. This poses a challenge for buildings where the installation of complex equipment and power systems is inconvenient. This study proposes a self- powered, high-speed, and highly sensitive vibration detection system. It integrates a triboelectric nano- generator (TENG) and an organic field-effect synaptic transistor. A synaptic transistor with analog biomimetic synapse characteristics is proposed. The TENG and synaptic transistor's working principles and carrier transport characteristics are studied. Using TENG's output and the synaptic device's memory, the system detects and evaluates building vibration signals. The system's adaptability to one-dimensional signals allows for vibration classification and recognition using 1D-CNN, achieving 88.9% accuracy. This innovative strategy has broad prospects for solving vibration detection problems in special buildings and achieving lightweight, real-time, and intelligent monitoring.
Keyword ：
Building vibration identification System Building vibration identification System Self-powered Self-powered Synaptic transistor Synaptic transistor Triboelectric nanogenerator Triboelectric nanogenerator
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| GB/T 7714 | Guo, Xiao , Fan, Yuyang , Liu, Di et al. Vibration sensing system integrating triboelectric nanogenerator and synaptic transistor for self-powered building vibration identification [J]. | MEASUREMENT , 2025 , 249 . |
| MLA | Guo, Xiao et al. "Vibration sensing system integrating triboelectric nanogenerator and synaptic transistor for self-powered building vibration identification" . | MEASUREMENT 249 (2025) . |
| APA | Guo, Xiao , Fan, Yuyang , Liu, Di , Chen, Huipeng . Vibration sensing system integrating triboelectric nanogenerator and synaptic transistor for self-powered building vibration identification . | MEASUREMENT , 2025 , 249 . |
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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 et al. "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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Artificial sensory systems require appropriate input-output modalities to enhance interaction efficiency and accuracy. It is crucial to mimic an organism to perceive and integrate multiple external stimuli and to construct systems with multiple sensory inputs. In addition, the application of optical output to the sensory system not only solves the problem of electrical signal transmission, but also enables direct imaging through optical output. Here, we propose an artificial multisensory system with optical feedback (AMSOF), which can simultaneously receive pressure and thermal stimuli and then generate neuromorphic optical responses along with feedback. Among them, the triboelectric nanogenerator (TENG) is responsible for receiving pressure stimuli, while the artificial light-emitting synaptic device utilizes the quantum dot thermal quenching mechanism to processes temperature signals and generate optical feedback. Additionally, if the AMOFS is applied to the fingerprint recognition system, it can enable fingerprint imaging through dual recognition of these two signals. In other words, it can enhance the security of biometric authentication by adding the capability to distinguish the live nature of objects on top of traditional fingerprint recognition. Therefore, this system aims to achieve more intelligent and efficient human-computer interaction and environmental perception capabilities, bringing forth a multitude of applications and innovations for smart systems.
Keyword ：
Artificial light -emitting synapse Artificial light -emitting synapse Human -machine interaction Human -machine interaction QLED device QLED device Triboelectric nanogenerator Triboelectric nanogenerator
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| GB/T 7714 | Chen, Huimei , Shan, Liuting , Gao, Changsong et al. Artificial multisensory system with optical feedback for multimodal perceptual imaging [J]. | CHEMICAL ENGINEERING JOURNAL , 2024 , 487 . |
| MLA | Chen, Huimei et al. "Artificial multisensory system with optical feedback for multimodal perceptual imaging" . | CHEMICAL ENGINEERING JOURNAL 487 (2024) . |
| APA | Chen, Huimei , Shan, Liuting , Gao, Changsong , Chen, Cong , Liu, Di , Chen, Huipeng et al. Artificial multisensory system with optical feedback for multimodal perceptual imaging . | CHEMICAL ENGINEERING JOURNAL , 2024 , 487 . |
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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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Photoelectric synaptic transistors integrate optical sensing and synaptic functions into a single device, which has significant advantages in neuromorphic computing for visual information, recognition, memory, and processing. However, the weight updating of existing photoelectric synapses is predominantly based on separate utilization of light and electrical stimuli to regulate synaptic excitation and inhibition. This approach significantly restricts the processing speed and application scenarios of devices. In this work, we propose bipolar synaptic organic/inorganic heterojunction transistor (BSOIHT) that can effectively simulate bidirectional (excitatory/inhibitory) synaptic behavior under light stimulation. Furthermore, by changing the position of electrode contacts and the metals of source and drain electrodes, carrier injection of the transistor is significantly improved with reduced synaptic event power consumption down to 2.4 fJ. Moreover, the BSOIHTs are adopted to build the neuromorphic vision system, which effectively facilitates image preprocessing and substantially enhances the recognition accuracy from 44.93% to 87.01%. This paper provides new avenues for the construction of energy-efficient artificial vision systems.
Keyword ：
artificial vision system artificial vision system bipolar heterojunction transistor bipolar heterojunction transistor low energy consumption low energy consumption photoelectric synaptic transistor photoelectric synaptic transistor
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| GB/T 7714 | Liu, Changfei , Gao, Changsong , Huang, Weilong et al. Bipolar synaptic organic/inorganic heterojunction transistor with complementary light modulation and low power consumption for energy-efficient artificial vision systems [J]. | SCIENCE CHINA-MATERIALS , 2024 . |
| MLA | Liu, Changfei et al. "Bipolar synaptic organic/inorganic heterojunction transistor with complementary light modulation and low power consumption for energy-efficient artificial vision systems" . | SCIENCE CHINA-MATERIALS (2024) . |
| APA | Liu, Changfei , Gao, Changsong , Huang, Weilong , Lian, Minrui , Xu, Chenhui , Chen, Huipeng et al. Bipolar synaptic organic/inorganic heterojunction transistor with complementary light modulation and low power consumption for energy-efficient artificial vision systems . | SCIENCE CHINA-MATERIALS , 2024 . |
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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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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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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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