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3D-printed cellular tips for tuning fork atomic force microscopy in shear mode

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Listed:
  • Liangdong Sun

    (Southeast University
    Southeast University)

  • Hongcheng Gu

    (Southeast University
    Southeast University)

  • Xiaojiang Liu

    (Southeast University
    Southeast University)

  • Haibin Ni

    (Southeast University
    Southeast University)

  • Qiwei Li

    (Southeast University
    Southeast University)

  • Yi Zeng

    (Southeast University
    Southeast University)

  • Ning Chang

    (Southeast University
    Southeast University)

  • Di Zhang

    (Southeast University
    Southeast University)

  • Hongyuan Chen

    (Nanjing University)

  • Zhiyong Li

    (Southeast University
    Southeast University)

  • Xiangwei Zhao

    (Southeast University
    Southeast University)

  • Zhongze Gu

    (Southeast University
    Southeast University)

Abstract

Conventional atomic force microscopy (AFM) tips have remained largely unchanged in nanomachining processes, constituent materials, and microstructural constructions for decades, which limits the measurement performance based on force-sensing feedbacks. In order to save the scanning images from distortions due to excessive mechanical interactions in the intermittent shear-mode contact between scanning tips and sample, we propose the application of controlled microstructural architectured material to construct AFM tips by exploiting material-related energy-absorbing behavior in response to the tip–sample impact, leading to visual promotions of imaging quality. Evidenced by numerical analysis of compressive responses and practical scanning tests on various samples, the essential scanning functionality and the unique contribution of the cellular buffer layer to imaging optimization are strongly proved. This approach opens new avenues towards the specific applications of cellular solids in the energy-absorption field and sheds light on novel AFM studies based on 3D-printed tips possessing exotic properties.

Suggested Citation

  • Liangdong Sun & Hongcheng Gu & Xiaojiang Liu & Haibin Ni & Qiwei Li & Yi Zeng & Ning Chang & Di Zhang & Hongyuan Chen & Zhiyong Li & Xiangwei Zhao & Zhongze Gu, 2020. "3D-printed cellular tips for tuning fork atomic force microscopy in shear mode," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19536-9
    DOI: 10.1038/s41467-020-19536-9
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    Cited by:

    1. Zhenyang Gao & Xiaolin Zhang & Yi Wu & Minh-Son Pham & Yang Lu & Cunjuan Xia & Haowei Wang & Hongze Wang, 2024. "Damage-programmable design of metamaterials achieving crack-resisting mechanisms seen in nature," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

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