IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-55160-7.html
   My bibliography  Save this article

Dual-role ion dynamics in ferroionic CuInP2S6: revealing the transition from ferroelectric to ionic switching mechanisms

Author

Listed:
  • Xingan Jiang

    (Ningbo University of Technology)

  • Xiangping Zhang

    (Southern University of Science and Technology)

  • Zunyi Deng

    (Beijing Institute of Technology)

  • Jianming Deng

    (Huizhou University)

  • Xiaolei Wang

    (Beijing University of Technology)

  • Xueyun Wang

    (Beijing Institute of Technology)

  • Weiyou Yang

    (Ningbo University of Technology)

Abstract

Due to its “ferroionic” nature, CuInP2S6 combines switchable ferroelectric polarization with highly mobile Cu ions, allowing for multiple resistance states. Its conductive mechanism involves ferroelectric switching, ion migration, and corresponding intercoupling, which are highly sensitive to external electric field. Distinguishing the dominant contribution of either ferroelectric switching or ion migration to dynamic conductivity remains a challenge and the conductive mechanism is not clear yet. Here, based on polarization switching analyses and first-principles calculations, this work demonstrates that the Cu ion migration pathways enable the formation of a quadruple-well state, determining the conductive mechanism. Accordingly, it favors the manipulation of Cu ion transport in the intralayer and interlayer in a controlled manner, and makes a transition from ferroelectric-dominated to ion-migration-dominated conductivity, by tailoring the electric fields. This work deepens the understanding of ion migration dynamics and conductive switching in ferroionic systems, which is critical for the advancement of memristor-based neuromorphic computing.

Suggested Citation

  • Xingan Jiang & Xiangping Zhang & Zunyi Deng & Jianming Deng & Xiaolei Wang & Xueyun Wang & Weiyou Yang, 2024. "Dual-role ion dynamics in ferroionic CuInP2S6: revealing the transition from ferroelectric to ionic switching mechanisms," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-55160-7
    DOI: 10.1038/s41467-024-55160-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-55160-7
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-55160-7?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. Jinhyoung Lee & Gunhoo Woo & Jinill Cho & Sihoon Son & Hyelim Shin & Hyunho Seok & Min-Jae Kim & Eungchul Kim & Ziyang Wang & Boseok Kang & Won-Jun Jang & Taesung Kim, 2024. "Free-standing two-dimensional ferro-ionic memristor," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Xingan Jiang & Xueyun Wang & Xiaolei Wang & Xiangping Zhang & Ruirui Niu & Jianming Deng & Sheng Xu & Yingzhuo Lun & Yanyu Liu & Tianlong Xia & Jianming Lu & Jiawang Hong, 2022. "Manipulation of current rectification in van der Waals ferroionic CuInP2S6," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    3. Ziwen Zhou & Shun Wang & Zhou Zhou & Yiqi Hu & Qiankun Li & Jinshuo Xue & Zhijian Feng & Qingyu Yan & Zhongshen Luo & Yuyan Weng & Rujun Tang & Xiaodong Su & Fengang Zheng & Kazuki Okamoto & Hiroshi F, 2023. "Unconventional polarization fatigue in van der Waals layered ferroelectric ionic conductor CuInP2S6," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    4. Xiaodong Yao & Yinxin Bai & Cheng Jin & Xinyu Zhang & Qunfei Zheng & Zedong Xu & Lang Chen & Shanmin Wang & Ying Liu & Junling Wang & Jinlong Zhu, 2023. "Anomalous polarization enhancement in a van der Waals ferroelectric material under pressure," Nature Communications, Nature, vol. 14(1), pages 1-6, December.
    5. Mingyi Rao & Hao Tang & Jiangbin Wu & Wenhao Song & Max Zhang & Wenbo Yin & Ye Zhuo & Fatemeh Kiani & Benjamin Chen & Xiangqi Jiang & Hefei Liu & Hung-Yu Chen & Rivu Midya & Fan Ye & Hao Jiang & Zhong, 2023. "Thousands of conductance levels in memristors integrated on CMOS," Nature, Nature, vol. 615(7954), pages 823-829, March.
    6. Tao Li & Yongyi Wu & Guoliang Yu & Shengxian Li & Yifeng Ren & Yadong Liu & Jiarui Liu & Hao Feng & Yu Deng & Mingxing Chen & Zhenyu Zhang & Tai Min, 2024. "Realization of sextuple polarization states and interstate switching in antiferroelectric CuInP2S6," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    7. Peng Yao & Huaqiang Wu & Bin Gao & Jianshi Tang & Qingtian Zhang & Wenqiang Zhang & J. Joshua Yang & He Qian, 2020. "Fully hardware-implemented memristor convolutional neural network," Nature, Nature, vol. 577(7792), pages 641-646, January.
    8. Yinchang Ma & Yuan Yan & Linqu Luo & Sebastian Pazos & Chenhui Zhang & Xiang Lv & Maolin Chen & Chen Liu & Yizhou Wang & Aitian Chen & Yan Li & Dongxing Zheng & Rongyu Lin & Hanin Algaidi & Minglei Su, 2023. "High-performance van der Waals antiferroelectric CuCrP2S6-based memristors," Nature Communications, Nature, vol. 14(1), pages 1-11, 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. Jiangang Chen & Zhixing Wen & Fan Yang & Renji Bian & Qirui Zhang & Er Pan & Yuelei Zeng & Xiao Luo & Qing Liu & Liang-Jian Deng & Fucai Liu, 2025. "Refreshable memristor via dynamic allocation of ferro-ionic phase for neural reuse," Nature Communications, Nature, vol. 16(1), pages 1-9, December.
    2. Bo Tong & Jiajun Xu & Jinhong Du & Peitao Liu & Tianming Du & Qiang Wang & Langjun Li & Yuning Wei & Jiangxu Li & Jinhua Liang & Chi Liu & Zhibo Liu & Chen Li & Lai-Peng Ma & Yang Chai & Wencai Ren, 2025. "2D (NH4)BiI3 enables non-volatile optoelectronic memories for machine learning," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
    3. Shaocong Wang & Yizhao Gao & Yi Li & Woyu Zhang & Yifei Yu & Bo Wang & Ning Lin & Hegan Chen & Yue Zhang & Yang Jiang & Dingchen Wang & Jia Chen & Peng Dai & Hao Jiang & Peng Lin & Xumeng Zhang & Xiao, 2025. "Random resistive memory-based deep extreme point learning machine for unified visual processing," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
    4. Peng Chen & Fenghao Liu & Peng Lin & Peihong Li & Yu Xiao & Bihua Zhang & Gang Pan, 2023. "Open-loop analog programmable electrochemical memory array," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    5. Yulin Feng & Yizhou Zhang & Zheng Zhou & Peng Huang & Lifeng Liu & Xiaoyan Liu & Jinfeng Kang, 2024. "Memristor-based storage system with convolutional autoencoder-based image compression network," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    6. Mingrui Jiang & Keyi Shan & Chengping He & Can Li, 2023. "Efficient combinatorial optimization by quantum-inspired parallel annealing in analogue memristor crossbar," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    7. Djohan Bonnet & Tifenn Hirtzlin & Atreya Majumdar & Thomas Dalgaty & Eduardo Esmanhotto & Valentina Meli & Niccolo Castellani & Simon Martin & Jean-François Nodin & Guillaume Bourgeois & Jean-Michel P, 2023. "Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    8. Xiangpeng Liang & Yanan Zhong & Jianshi Tang & Zhengwu Liu & Peng Yao & Keyang Sun & Qingtian Zhang & Bin Gao & Hadi Heidari & He Qian & Huaqiang Wu, 2022. "Rotating neurons for all-analog implementation of cyclic reservoir computing," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    9. Jongmin Lee & Bum Ho Jeong & Eswaran Kamaraj & Dohyung Kim & Hakjun Kim & Sanghyuk Park & Hui Joon Park, 2023. "Light-enhanced molecular polarity enabling multispectral color-cognitive memristor for neuromorphic visual system," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    10. Yu, Fei & Kong, Xinxin & Yao, Wei & Zhang, Jin & Cai, Shuo & Lin, Hairong & Jin, Jie, 2024. "Dynamics analysis, synchronization and FPGA implementation of multiscroll Hopfield neural networks with non-polynomial memristor," Chaos, Solitons & Fractals, Elsevier, vol. 179(C).
    11. Alsuwian, Turki & Kousar, Farhana & Rasheed, Umbreen & Imran, Muhammad & Hussain, Fayyaz & Arif Khalil, R.M. & Algadi, Hassan & Batool, Najaf & Khera, Ejaz Ahmad & Kiran, Saira & Ashiq, Muhammad Naeem, 2021. "First principles investigation of physically conductive bridge filament formation of aluminum doped perovskite materials for neuromorphic memristive applications," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    12. Ruibin Mao & Bo Wen & Arman Kazemi & Yahui Zhao & Ann Franchesca Laguna & Rui Lin & Ngai Wong & Michael Niemier & X. Sharon Hu & Xia Sheng & Catherine E. Graves & John Paul Strachan & Can Li, 2022. "Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    13. Bin Gao & Ying Zhou & Qingtian Zhang & Shuanglin Zhang & Peng Yao & Yue Xi & Qi Liu & Meiran Zhao & Wenqiang Zhang & Zhengwu Liu & Xinyi Li & Jianshi Tang & He Qian & Huaqiang Wu, 2022. "Memristor-based analogue computing for brain-inspired sound localization with in situ training," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    14. Zhongfang Zhang & Xiaolong Zhao & Xumeng Zhang & Xiaohu Hou & Xiaolan Ma & Shuangzhu Tang & Ying Zhang & Guangwei Xu & Qi Liu & Shibing Long, 2022. "In-sensor reservoir computing system for latent fingerprint recognition with deep ultraviolet photo-synapses and memristor array," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    15. Ren, Lujie & Mou, Jun & Banerjee, Santo & Zhang, Yushu, 2023. "A hyperchaotic map with a new discrete memristor model: Design, dynamical analysis, implementation and application," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    16. Syed Ghazi Sarwat & Timoleon Moraitis & C. David Wright & Harish Bhaskaran, 2022. "Chalcogenide optomemristors for multi-factor neuromorphic computation," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    17. Yunping Bai & Yifu Xu & Shifan Chen & Xiaotian Zhu & Shuai Wang & Sirui Huang & Yuhang Song & Yixuan Zheng & Zhihui Liu & Sim Tan & Roberto Morandotti & Sai T. Chu & Brent E. Little & David J. Moss & , 2025. "TOPS-speed complex-valued convolutional accelerator for feature extraction and inference," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
    18. Malte J. Rasch & Fabio Carta & Omobayode Fagbohungbe & Tayfun Gokmen, 2024. "Fast and robust analog in-memory deep neural network training," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    19. Guangdi Feng & Qiuxiang Zhu & Xuefeng Liu & Luqiu Chen & Xiaoming Zhao & Jianquan Liu & Shaobing Xiong & Kexiang Shan & Zhenzhong Yang & Qinye Bao & Fangyu Yue & Hui Peng & Rong Huang & Xiaodong Tang , 2024. "A ferroelectric fin diode for robust non-volatile memory," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    20. Seokho Seo & Beomjin Kim & Donghoon Kim & Seungwoo Park & Tae Ryong Kim & Junkyu Park & Hakcheon Jeong & See-On Park & Taehoon Park & Hyeok Shin & Myung-Su Kim & Yang-Kyu Choi & Shinhyun Choi, 2022. "The gate injection-based field-effect synapse transistor with linear conductance update for online training," 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_s41467-024-55160-7. 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.