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  1. Article: MADS-Box Family Genes in

    Qiao, Zhongquan / Deng, Fuyuan / Zeng, Huijie / Li, Xuelu / Lu, Liushu / Lei, Yuxing / Li, Lu / Chen, Yi / Chen, Jianjun

    Plants (Basel, Switzerland)

    2024  Volume 13, Issue 5

    Abstract: MADS-box is a key transcription factor regulating the transition to flowering and flower development. ...

    Abstract MADS-box is a key transcription factor regulating the transition to flowering and flower development.
    Language English
    Publishing date 2024-03-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704341-1
    ISSN 2223-7747
    ISSN 2223-7747
    DOI 10.3390/plants13050709
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Oxygen-Vacancy-Induced Synaptic Plasticity in an Electrospun InGdO Nanofiber Transistor for a Gas Sensory System with a Learning Function

    Li, Jun / Fu, Wenhui / Lei, Yuxing / Li, Linkang / Zhu, Wenqing / Zhang, Jianhua

    ACS applied materials & interfaces. 2022 Feb. 01, v. 14, no. 6

    2022  

    Abstract: The perceptual learning function of a simulating human body is very important for constructing a neural computing system and a brainlike computer in the future. The sense of smell is an important part of the human sensory nervous system. However, current ...

    Abstract The perceptual learning function of a simulating human body is very important for constructing a neural computing system and a brainlike computer in the future. The sense of smell is an important part of the human sensory nervous system. However, current gas sensors simply convert gas concentrations into electrical signals and do not have the same learning and memory function as synapses. To solve this problem, we propose a new sensing idea to induce and activate the synaptic properties of transistors by adjusting the oxygen vacancy in the active layer. This sensor combines gas detection with synaptic memory and learning and overcomes the disadvantage of the separation of synaptic transistors and sensors, thus greatly reducing the cost of production. This work combines the detection of N,N-dimethylformamide (DMF) gas with the synaptic mechanism of human olfactory nerves. We successfully fabricated an InGdO nanofiber field-effect transistor by electrostatic spinning and simulated the response of human olfactory synapses to target gas by regulating the oxygen vacancy of the InGdO nanofiber. The synaptic transistor response under different concentrations of unmodulated pulses is tested, and the pavlovian conditioned reflex experiment is simulated successfully. This work provides a new idea of a gas sensor device, which is very important for the development of high-performance gas sensors and bionic electronic devices in the future.
    Keywords computers ; humans ; memory ; nanofibers ; neuroplasticity ; oxygen ; production costs ; sensory system ; smell ; transistors
    Language English
    Dates of publication 2022-0201
    Size p. 8587-8597.
    Publishing place American Chemical Society
    Document type Article
    ISSN 1944-8252
    DOI 10.1021/acsami.1c23390
    Database NAL-Catalogue (AGRICOLA)

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  3. Article ; Online: Oxygen-Vacancy-Induced Synaptic Plasticity in an Electrospun InGdO Nanofiber Transistor for a Gas Sensory System with a Learning Function.

    Li, Jun / Fu, Wenhui / Lei, Yuxing / Li, Linkang / Zhu, Wenqing / Zhang, Jianhua

    ACS applied materials & interfaces

    2022  Volume 14, Issue 6, Page(s) 8587–8597

    Abstract: The perceptual learning function of a simulating human body is very important for constructing a neural computing system and a brainlike computer in the future. The sense of smell is an important part of the human sensory nervous system. However, current ...

    Abstract The perceptual learning function of a simulating human body is very important for constructing a neural computing system and a brainlike computer in the future. The sense of smell is an important part of the human sensory nervous system. However, current gas sensors simply convert gas concentrations into electrical signals and do not have the same learning and memory function as synapses. To solve this problem, we propose a new sensing idea to induce and activate the synaptic properties of transistors by adjusting the oxygen vacancy in the active layer. This sensor combines gas detection with synaptic memory and learning and overcomes the disadvantage of the separation of synaptic transistors and sensors, thus greatly reducing the cost of production. This work combines the detection of
    MeSH term(s) Humans ; Nanofibers ; Neuronal Plasticity ; Oxygen ; Sense Organs ; Transistors, Electronic
    Chemical Substances Oxygen (S88TT14065)
    Language English
    Publishing date 2022-02-01
    Publishing country United States
    Document type Journal Article
    ISSN 1944-8252
    ISSN (online) 1944-8252
    DOI 10.1021/acsami.1c23390
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: High-Density Artificial Synapse Array Consisting of Homogeneous Electrolyte-Gated Transistors.

    Li, Jun / Lei, Yuxing / Wang, Zexin / Meng, Hu / Zhang, Wenkui / Li, Mengjiao / Tan, Qiuyun / Li, Zeyuan / Guo, Wei / Wen, Shengkai / Zhang, Jianhua

    Advanced science (Weinheim, Baden-Wurttemberg, Germany)

    2023  Volume 11, Issue 3, Page(s) e2305430

    Abstract: The artificial synapse array with an electrolyte-gated transistor (EGT) as an array unit presents considerable potential for neuromorphic computation. However, the integration of EGTs faces the drawback of the conflict between the polymer electrolytes ... ...

    Abstract The artificial synapse array with an electrolyte-gated transistor (EGT) as an array unit presents considerable potential for neuromorphic computation. However, the integration of EGTs faces the drawback of the conflict between the polymer electrolytes and photo-lithography. This study presents a scheme based on a lateral-gate structure to realize high-density integration of EGTs and proposes the integration of 100 × 100 EGTs into a 2.5 × 2.5 cm
    Language English
    Publishing date 2023-11-28
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2808093-2
    ISSN 2198-3844 ; 2198-3844
    ISSN (online) 2198-3844
    ISSN 2198-3844
    DOI 10.1002/advs.202305430
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: First-principle calculations of electronic, vibrational, and thermodynamic properties of 1,3-diamino-2,4,6-trinitrobenzene.

    Liu, Wei-Hong / Zeng, Wei / Qin, Han / Jiang, Cheng-Lu / Liu, Fu-Sheng / Tang, Bin / Lei, Yu-Xing / Liu, Qi-Jun

    Journal of molecular modeling

    2019  Volume 25, Issue 12, Page(s) 356

    Abstract: Energy-containing materials have aroused people's widespread concern because of its admirable performance in recent years. In this paper, the electronic structure, vibrational, and thermodynamic properties of 1,3-diamino-2,4,6-trinitrobenzene (DATB) are ... ...

    Abstract Energy-containing materials have aroused people's widespread concern because of its admirable performance in recent years. In this paper, the electronic structure, vibrational, and thermodynamic properties of 1,3-diamino-2,4,6-trinitrobenzene (DATB) are systematically investigated by adopting the first-principle calculations. We find that lattice parameters are in excellent agreement with the previous calculated and experimental values. The vibration spectra are described in detail and the peaks in the Raman and infrared spectra are assigned to different vibration modes. Phonon dispersion curves indicate that the DATB is dynamically stable. According to the vibrational properties, the thermodynamic functions such as enthalpy (H), constant volume heat capacity (C
    Language English
    Publishing date 2019-11-25
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1284729-X
    ISSN 0948-5023 ; 1610-2940
    ISSN (online) 0948-5023
    ISSN 1610-2940
    DOI 10.1007/s00894-019-4249-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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