IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-50490-y.html
   My bibliography  Save this article

Ultra-low power carbon nanotube/porphyrin synaptic arrays for persistent photoconductivity and neuromorphic computing

Author

Listed:
  • Jian Yao

    (University of Science and Technology of China
    Chinese Academy of Sciences)

  • Qinan Wang

    (Chinese Academy of Sciences
    Xi’an Jiaotong-Liverpool University)

  • Yong Zhang

    (Chinese Academy of Sciences)

  • Yu Teng

    (Chinese Academy of Sciences)

  • Jing Li

    (Chinese Academy of Sciences)

  • Pin Zhao

    (Chinese Academy of Sciences)

  • Chun Zhao

    (Xi’an Jiaotong-Liverpool University)

  • Ziyi Hu

    (Chinese Academy of Sciences)

  • Zongjie Shen

    (Chinese Academy of Sciences)

  • Liwei Liu

    (University of Science and Technology of China
    Chinese Academy of Sciences)

  • Dan Tian

    (Nanjing Forestry University)

  • Song Qiu

    (University of Science and Technology of China
    Chinese Academy of Sciences)

  • Zhongrui Wang

    (Pokfulam Road)

  • Lixing Kang

    (University of Science and Technology of China
    Chinese Academy of Sciences)

  • Qingwen Li

    (University of Science and Technology of China
    Chinese Academy of Sciences)

Abstract

Developing devices with a wide-temperature range persistent photoconductivity (PPC) and ultra-low power consumption remains a significant challenge for optical synaptic devices used in neuromorphic computing. By harnessing the PPC properties in materials, it can achieve optical storage and neuromorphic computing, surpassing the von Neuman architecture-based systems. However, previous research implemented PPC required additional gate voltages and low temperatures, which need additional energy consumption and PPC cannot be achieved across a wide temperature range. Here, we fabricated a simple heterojunctions using zinc(II)-meso-tetraphenyl porphyrin (ZnTPP) and single-walled carbon nanotubes (SWCNTs). By leveraging the strong binding energy at the heterojunction interface and the unique band structure, the heterojunction achieved PPC over an exceptionally wide temperature range (77 K-400 K). Remarkably, it demonstrated nonvolatile storage for up to 2×104 s, without additional gate voltage. The minimum energy consumption for each synaptic event is as low as 6.5 aJ. Furthermore, we successfully demonstrate the feasibility to manufacture a flexible wafer-scale array utilizing this heterojunction. We applied it to autonomous driving under extreme temperatures and achieved as a high impressive accuracy rate as 94.5%. This tunable and stable wide-temperature PPC capability holds promise for ultra-low-power neuromorphic computing.

Suggested Citation

  • Jian Yao & Qinan Wang & Yong Zhang & Yu Teng & Jing Li & Pin Zhao & Chun Zhao & Ziyi Hu & Zongjie Shen & Liwei Liu & Dan Tian & Song Qiu & Zhongrui Wang & Lixing Kang & Qingwen Li, 2024. "Ultra-low power carbon nanotube/porphyrin synaptic arrays for persistent photoconductivity and neuromorphic computing," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50490-y
    DOI: 10.1038/s41467-024-50490-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-50490-y
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-50490-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Du Xiang & Tao Liu & Jilian Xu & Jun Y. Tan & Zehua Hu & Bo Lei & Yue Zheng & Jing Wu & A. H. Castro Neto & Lei Liu & Wei Chen, 2018. "Two-dimensional multibit optoelectronic memory with broadband spectrum distinction," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
    2. Ge Li & Donggang Xie & Hai Zhong & Ziye Zhang & Xingke Fu & Qingli Zhou & Qiang Li & Hao Ni & Jiaou Wang & Er-jia Guo & Meng He & Can Wang & Guozhen Yang & Kuijuan Jin & Chen Ge, 2022. "Photo-induced non-volatile VO2 phase transition for neuromorphic ultraviolet sensors," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    3. He-Shan Zhang & Xue-Mei Dong & Zi-Cheng Zhang & Ze-Pu Zhang & Chao-Yi Ban & Zhe Zhou & Cheng Song & Shi-Qi Yan & Qian Xin & Ju-Qing Liu & Yin-Xiang Li & Wei Huang, 2022. "Co-assembled perylene/graphene oxide photosensitive heterobilayer for efficient neuromorphics," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    4. J. Feldmann & N. Youngblood & C. D. Wright & H. Bhaskaran & W. H. P. Pernice, 2019. "All-optical spiking neurosynaptic networks with self-learning capabilities," Nature, Nature, vol. 569(7755), pages 208-214, May.
    5. M. Prezioso & M. R. Mahmoodi & F. Merrikh Bayat & H. Nili & H. Kim & A. Vincent & D. B. Strukov, 2018. "Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pengzhan Li & Mingzhen Zhang & Qingli Zhou & Qinghua Zhang & Donggang Xie & Ge Li & Zhuohui Liu & Zheng Wang & Erjia Guo & Meng He & Can Wang & Lin Gu & Guozhen Yang & Kuijuan Jin & Chen Ge, 2024. "Reconfigurable optoelectronic transistors for multimodal recognition," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Rui Zhu & Huili Liang & Shangfeng Liu & Ye Yuan & Xinqiang Wang & Francis Chi-Chung Ling & Andrej Kuznetsov & Guangyu Zhang & Zengxia Mei, 2023. "Non-volatile optoelectronic memory based on a photosensitive dielectric," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    3. Sajjad Abdollahramezani & Omid Hemmatyar & Mohammad Taghinejad & Hossein Taghinejad & Alex Krasnok & Ali A. Eftekhar & Christian Teichrib & Sanchit Deshmukh & Mostafa A. El-Sayed & Eric Pop & Matthias, 2022. "Electrically driven reprogrammable phase-change metasurface reaching 80% efficiency," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    4. Choi, Woo Sik & Jang, Jun Tae & Kim, Donguk & Yang, Tae Jun & Kim, Changwook & Kim, Hyungjin & Kim, Dae Hwan, 2022. "Influence of Al2O3 layer on InGaZnO memristor crossbar array for neuromorphic applications," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    5. Yongxiang Li & Shiqing Wang & Ke Yang & Yuchao Yang & Zhong Sun, 2024. "An emergent attractor network in a passive resistive switching circuit," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    6. Ui Yeon Won & Quoc An Vu & Sung Bum Park & Mi Hyang Park & Van Dam Do & Hyun Jun Park & Heejun Yang & Young Hee Lee & Woo Jong Yu, 2023. "Multi-neuron connection using multi-terminal floating–gate memristor for unsupervised learning," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    7. Pengshan Xie & Yunchao Xu & Jingwen Wang & Dengji Li & Yuxuan Zhang & Zixin Zeng & Boxiang Gao & Quan Quan & Bowen Li & You Meng & Weijun Wang & Yezhan Li & Yan Yan & Yi Shen & Jia Sun & Johnny C. Ho, 2024. "Birdlike broadband neuromorphic visual sensor arrays for fusion imaging," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    8. Minati, Ludovico & Mancinelli, Mattia & Frasca, Mattia & Bettotti, Paolo & Pavesi, Lorenzo, 2021. "An analog electronic emulator of non-linear dynamics in optical microring resonators," Chaos, Solitons & Fractals, Elsevier, vol. 153(P2).
    9. Yanyun Ren & Xiaobo Bu & Ming Wang & Yue Gong & Junjie Wang & Yuyang Yang & Guijun Li & Meng Zhang & Ye Zhou & Su-Ting Han, 2022. "Synaptic plasticity in self-powered artificial striate cortex for binocular orientation selectivity," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    10. Zhuohui Liu & Qinghua Zhang & Donggang Xie & Mingzhen Zhang & Xinyan Li & Hai Zhong & Ge Li & Meng He & Dashan Shang & Can Wang & Lin Gu & Guozhen Yang & Kuijuan Jin & Chen Ge, 2023. "Interface-type tunable oxygen ion dynamics for physical reservoir computing," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    11. Junwei Cheng & Chaoran Huang & Jialong Zhang & Bo Wu & Wenkai Zhang & Xinyu Liu & Jiahui Zhang & Yiyi Tang & Hailong Zhou & Qiming Zhang & Min Gu & Jianji Dong & Xinliang Zhang, 2024. "Multimodal deep learning using on-chip diffractive optics with in situ training capability," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    12. Zhiyuan Li & Zhongshao Li & Wei Tang & Jiaping Yao & Zhipeng Dou & Junjie Gong & Yongfei Li & Beining Zhang & Yunxiao Dong & Jian Xia & Lin Sun & Peng Jiang & Xun Cao & Rui Yang & Xiangshui Miao & Ron, 2024. "Crossmodal sensory neurons based on high-performance flexible memristors for human-machine in-sensor computing system," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    13. Xiaoyun Yuan & Yong Wang & Zhihao Xu & Tiankuang Zhou & Lu Fang, 2023. "Training large-scale optoelectronic neural networks with dual-neuron optical-artificial learning," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    14. Xiangyan Meng & Guojie Zhang & Nuannuan Shi & Guangyi Li & José Azaña & José Capmany & Jianping Yao & Yichen Shen & Wei Li & Ninghua Zhu & Ming Li, 2023. "Compact optical convolution processing unit based on multimode interference," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    15. Jin Zhao & Wen-Xiong Song & Tianjiao Xin & Zhitang Song, 2021. "Rules of hierarchical melt and coordinate bond to design crystallization in doped phase change materials," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    16. Xin Liu & Danhao Wang & Wei Chen & Yang Kang & Shi Fang & Yuanmin Luo & Dongyang Luo & Huabin Yu & Haochen Zhang & Kun Liang & Lan Fu & Boon S. Ooi & Sheng Liu & Haiding Sun, 2024. "Optoelectronic synapses with chemical-electric behaviors in gallium nitride semiconductors for biorealistic neuromorphic functionality," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    17. Ting Jiang & Yiru Wang & Yingshuang Zheng & Le Wang & Xiang He & Liqiang Li & Yunfeng Deng & Huanli Dong & Hongkun Tian & Yanhou Geng & Linghai Xie & Yong Lei & Haifeng Ling & Deyang Ji & Wenping Hu, 2023. "Tetrachromatic vision-inspired neuromorphic sensors with ultraweak ultraviolet detection," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    18. Bujingda Zheng & Yunchao Xie & Shichen Xu & Andrew C. Meng & Shaoyun Wang & Yuchao Wu & Shuhong Yang & Caixia Wan & Guoliang Huang & James M. Tour & Jian Lin, 2024. "Programmed multimaterial assembly by synergized 3D printing and freeform laser induction," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    19. Xinyu Chen & Yufeng Xie & Yaochen Sheng & Hongwei Tang & Zeming Wang & Yu Wang & Yin Wang & Fuyou Liao & Jingyi Ma & Xiaojiao Guo & Ling Tong & Hanqi Liu & Hao Liu & Tianxiang Wu & Jiaxin Cao & Sitong, 2021. "Wafer-scale functional circuits based on two dimensional semiconductors with fabrication optimized by machine learning," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    20. Elena Goi & Steffen Schoenhardt & Min Gu, 2022. "Direct retrieval of Zernike-based pupil functions using integrated diffractive deep neural networks," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50490-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.