IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-52496-y.html
   My bibliography  Save this article

Molecular switching by proton-coupled electron transport drives giant negative differential resistance

Author

Listed:
  • Qian Zhang

    (National University of Singapore, 3 Science Drive 3
    Chongqing University)

  • Yulong Wang

    (National University of Singapore, 3 Science Drive 3)

  • Cameron Nickle

    (University of Central Florida)

  • Ziyu Zhang

    (National University of Singapore, 3 Science Drive 3)

  • Andrea Leoncini

    (National University of Singapore, 3 Science Drive 3)

  • Dong-Chen Qi

    (Queensland University of Technology)

  • Kai Sotthewes

    (University of Twente)

  • Alessandro Borrini

    (University of Twente)

  • Harold J. W. Zandvliet

    (University of Twente)

  • Enrique Barco

    (University of Central Florida)

  • Damien Thompson

    (University of Limerick)

  • Christian A. Nijhuis

    (University of Twente)

Abstract

To develop new types of dynamic molecular devices with atomic-scale control over electronic function, new types of molecular switches are needed with time-dependent switching probabilities. We report such a molecular switch based on proton-coupled electron transfer (PCET) reaction with giant hysteric negative differential resistance (NDR) with peak-to-valley ratios of 120 ± 6.6 and memory on/off ratios of (2.4 ± 0.6) × 103. The switching dynamics probabilities are modulated by bias voltage sweep rate and can also be controlled by pH and relative humidity, confirmed by kinetic isotope effect measurements. The demonstrated dynamical and environment-specific modulation of giant NDR and memory effects provide new opportunities for bioelectronics and artificial neural networks.

Suggested Citation

  • Qian Zhang & Yulong Wang & Cameron Nickle & Ziyu Zhang & Andrea Leoncini & Dong-Chen Qi & Kai Sotthewes & Alessandro Borrini & Harold J. W. Zandvliet & Enrique Barco & Damien Thompson & Christian A. N, 2024. "Molecular switching by proton-coupled electron transport drives giant negative differential resistance," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52496-y
    DOI: 10.1038/s41467-024-52496-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-52496-y
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-52496-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. Suhas Kumar & John Paul Strachan & R. Stanley Williams, 2017. "Chaotic dynamics in nanoscale NbO2 Mott memristors for analogue computing," Nature, Nature, vol. 548(7667), pages 318-321, August.
    2. Min-Kyu Song & Seok Daniel Namgung & Daehwan Choi & Hyeohn Kim & Hongmin Seo & Misong Ju & Yoon Ho Lee & Taehoon Sung & Yoon-Sik Lee & Ki Tae Nam & Jang-Yeon Kwon, 2020. "Proton-enabled activation of peptide materials for biological bimodal memory," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    3. Suhas Kumar & R. Stanley Williams & Ziwen Wang, 2020. "Third-order nanocircuit elements for neuromorphic engineering," Nature, Nature, vol. 585(7826), pages 518-523, September.
    4. Gilbert J. Choi & Qilei Zhu & David C. Miller & Carol J. Gu & Robert R. Knowles, 2016. "Catalytic alkylation of remote C–H bonds enabled by proton-coupled electron transfer," Nature, Nature, vol. 539(7628), pages 268-271, November.
    5. Chengxin Peng & Guo-Hong Ning & Jie Su & Guiming Zhong & Wei Tang & Bingbing Tian & Chenliang Su & Dingyi Yu & Lianhai Zu & Jinhu Yang & Man-Fai Ng & Yong-Sheng Hu & Yong Yang & Michel Armand & Kian P, 2017. "Reversible multi-electron redox chemistry of π-conjugated N-containing heteroaromatic molecule-based organic cathodes," Nature Energy, Nature, vol. 2(7), pages 1-9, July.
    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. Fanfan Li & Dingwei Li & Chuanqing Wang & Guolei Liu & Rui Wang & Huihui Ren & Yingjie Tang & Yan Wang & Yitong Chen & Kun Liang & Qi Huang & Mohamad Sawan & Min Qiu & Hong Wang & Bowen Zhu, 2024. "An artificial visual neuron with multiplexed rate and time-to-first-spike coding," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Dong, Yujiao & Yang, Shuting & Liang, Yan & Wang, Guangyi, 2022. "Neuromorphic dynamics near the edge of chaos in memristive neurons," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
    3. Kyung Seok Woo & Alan Zhang & Allison Arabelo & Timothy D. Brown & Minseong Park & A. Alec Talin & Elliot J. Fuller & Ravindra Singh Bisht & Xiaofeng Qian & Raymundo Arroyave & Shriram Ramanathan & Lu, 2024. "True random number generation using the spin crossover in LaCoO3," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    4. Du, Chuanhong & Liu, Licai & Zhang, Zhengping & Yu, Shixing, 2021. "Double memristors oscillator with hidden stacked attractors and its multi-transient and multistability analysis," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
    5. Ushakov, Yury & Akther, Amir & Borisov, Pavel & Pattnaik, Debi & Savel’ev, Sergey & Balanov, Alexander G., 2021. "Deterministic mechanisms of spiking in diffusive memristors," Chaos, Solitons & Fractals, Elsevier, vol. 149(C).
    6. Ke Yang & Yanghao Wang & Pek Jun Tiw & Chaoming Wang & Xiaolong Zou & Rui Yuan & Chang Liu & Ge Li & Chen Ge & Si Wu & Teng Zhang & Ru Huang & Yuchao Yang, 2024. "High-order sensory processing nanocircuit based on coupled VO2 oscillators," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    7. Hakseung Rhee & Gwangmin Kim & Hanchan Song & Woojoon Park & Do Hoon Kim & Jae Hyun In & Younghyun Lee & Kyung Min Kim, 2023. "Probabilistic computing with NbOx metal-insulator transition-based self-oscillatory pbit," Nature Communications, Nature, vol. 14(1), pages 1-8, December.
    8. Ying, Jiajie & Min, Fuhong & Wang, Guangyi, 2023. "Neuromorphic behaviors of VO2 memristor-based neurons," Chaos, Solitons & Fractals, Elsevier, vol. 175(P2).
    9. Sang Hyun Sung & Tae Jin Kim & Hyera Shin & Tae Hong Im & Keon Jae Lee, 2022. "Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    10. 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.
    11. Pietro Belleri & Judith Pons i Tarrés & Iain McCulloch & Paul W. M. Blom & Zsolt M. Kovács-Vajna & Paschalis Gkoupidenis & Fabrizio Torricelli, 2024. "Unravelling the operation of organic artificial neurons for neuromorphic bioelectronics," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    12. Junlin Xiong & Jiao Xie & Bin Cheng & Yudi Dai & Xinyu Cui & Lizheng Wang & Zenglin Liu & Ji Zhou & Naizhou Wang & Xianghan Xu & Xianhui Chen & Sang-Wook Cheong & Shi-Jun Liang & Feng Miao, 2024. "Electrical switching of Ising-superconducting nonreciprocity for quantum neuronal transistor," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    13. Rohit Abraham John & Yiğit Demirağ & Yevhen Shynkarenko & Yuliia Berezovska & Natacha Ohannessian & Melika Payvand & Peng Zeng & Maryna I. Bodnarchuk & Frank Krumeich & Gökhan Kara & Ivan Shorubalko &, 2022. "Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    14. Ying, Jiajie & Liang, Yan & Wang, Junlan & Dong, Yujiao & Wang, Guangyi & Gu, Meiyuan, 2021. "A tristable locally-active memristor and its complex dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 148(C).
    15. Zhou, Wei & Jin, Peipei & Dong, Yujiao & Liang, Yan & Wang, Guangyi, 2023. "Memristor neurons and their coupling networks based on Edge of Chaos Kernel," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    16. Shi, Shuyu & Liang, Yan & Li, Yiqing & Lu, Zhenzhou & Dong, Yujiao, 2024. "A neuron circuit based on memristor and negative capacitor: Dynamics analysis and hardware implementation," Chaos, Solitons & Fractals, Elsevier, vol. 180(C).
    17. Li, Xing & Zou, Jianxun & Feng, Zhe & Wu, Zuheng & Xu, Zuyu & Yang, Fei & Zhu, Yunlai & Dai, Yuehua, 2023. "Thermal design engineering for improving the variation of memristor threshold," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).
    18. Xi Zhou & Liang Zhao & Chu Yan & Weili Zhen & Yinyue Lin & Le Li & Guanlin Du & Linfeng Lu & Shan-Ting Zhang & Zhichao Lu & Dongdong Li, 2023. "Thermally stable threshold selector based on CuAg alloy for energy-efficient memory and neuromorphic computing applications," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    19. 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.
    20. Yue Yang & Fangduo Zhu & Xumeng Zhang & Pei Chen & Yongzhou Wang & Jiaxue Zhu & Yanting Ding & Lingli Cheng & Chao Li & Hao Jiang & Zhongrui Wang & Peng Lin & Tuo Shi & Ming Wang & Qi Liu & Ningsheng , 2024. "Firing feature-driven neural circuits with scalable memristive neurons for robotic obstacle avoidance," Nature Communications, Nature, vol. 15(1), pages 1-11, 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_s41467-024-52496-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.