pith. sign in

arxiv: 2606.30472 · v1 · pith:KMC66UTQnew · submitted 2026-06-29 · ❄️ cond-mat.mtrl-sci · cond-mat.mes-hall

Mechanical Manipulation of Graphene Auto-Kirigami with an AFM tip

Pierce C. Sinnott , Majid Fazeli Jadidi , Graham L. W. Cross This is my paper

Pith reviewed 2026-06-30 04:54 UTC · model grok-4.3

classification ❄️ cond-mat.mtrl-sci cond-mat.mes-hall
keywords grapheneauto-kirigamiAFMnanoindentationfolded ribbonsmechanical manipulationNEMS
0
0 comments X

The pith

Standard AFM indentation plus high-setpoint tapping nucleates and manipulates graphene auto-kirigami ribbons at high yield.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper shows that graphene sheets can be made to tear, slide and fold into micrometre-scale ribbons using only a conventional atomic force microscope. The process begins with tip indentation, then switches to high-setpoint hard tapping that both starts the self-driven folding and lets the operator extend, rotate or reverse the ribbons while watching them form. Earlier work needed either multi-axis indenters or slow manual scratching; this approach matches those yields and speeds on any standard AFM. The result is a single-instrument workflow that produces and images the structures in place.

Core claim

AFM-based indentation followed by high-setpoint hard tapping nucleates auto-kirigami ribbons in graphene at high yield, after which continued AFM operation enables extensional growth, rotation and reversal of the ribbons while they are dynamically imaged, all without specialized multi-axial equipment.

What carries the argument

AFM indentation combined with high-setpoint hard tapping, which triggers the thermodynamically driven tearing and folding while permitting real-time mechanical control and observation of the ribbons.

If this is right

  • High yields of ribbons are obtained in timeframes comparable to multi-axial indentation methods.
  • All nucleation, manipulation and imaging steps occur on one conventional AFM instrument.
  • Ribbons can be extended, rotated or reversed by continued AFM tip interaction.
  • The method removes the requirement for specialized multi-axial systems or laborious scratching.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Labs already equipped with AFMs could begin studying or patterning these structures without buying new hardware.
  • In-situ imaging during manipulation may let researchers observe the sliding and folding steps directly.
  • The same sequence might be tested on other van der Waals layers to see whether similar self-folding occurs.

Load-bearing premise

AFM indentation plus high-setpoint tapping on a conventional microscope will reliably nucleate and allow controlled manipulation of the ribbons at high yield on any sample.

What would settle it

Repeated trials on prepared graphene samples using only a standard AFM produce no ribbons or no controllable motion when the indentation-and-hard-tapping sequence is applied.

Figures

Figures reproduced from arXiv: 2606.30472 by Graham L. W. Cross, Majid Fazeli Jadidi, Pierce C. Sinnott.

Figure 1
Figure 1. Figure 1: Method for nucleation of auto-kirigami ribbons. [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Ribbon nucleation by hard tapping. (a) A standard indent produced by shearing AFM indentation with a diamond cube corner probe. While some folded graphene is observed around the indent, ribbon nucleation is highly uncommon following only this indentation process. (b) Ribbon nucleation following application of hard tapping on the area around an indent as in (a), with ribbon growth to ≈ 0.5 μm. (c) Widesprea… view at source ↗
Figure 3
Figure 3. Figure 3: Ribbon extensional growth due to hard tapping. [PITH_FULL_IMAGE:figures/full_fig_p007_3.png] view at source ↗
Figure 3
Figure 3. Figure 3: In (a) to (b), the imaging reveals the peeled area as the [PITH_FULL_IMAGE:figures/full_fig_p008_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Ribbon growth by HT applied only to a small area on the ribbon. [PITH_FULL_IMAGE:figures/full_fig_p008_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Precise ribbon rotation by HT on ribbon edge [PITH_FULL_IMAGE:figures/full_fig_p009_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Simultaneous trace and retrace images during HT. [PITH_FULL_IMAGE:figures/full_fig_p011_6.png] view at source ↗
read the original abstract

Graphene auto-kirigami describes the thermodynamically self-driven tearing, sliding and folding of graphene sheets to form micrometre-scale, folded ribbons. However, this process typically requires specialised multi-axial nanoindentation systems or highly laborious AFM-based scratching methods. We here introduce a novel, scalable, wholly AFM-based method to nucleate high yields of ribbons in comparable timeframes to previous multi-axial indentation methods, by AFM-based indentation and "hard tapping", whereby high setpoint AFM imaging can nucleate, manipulate and dynamically image the auto-kirigami ribbons. This can be performed with any conventional AFM, enabling extensional growth, rotation and reversal of ribbons towards potential applications as NEMS devices.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 0 minor

Summary. The manuscript claims to introduce a novel, scalable, wholly AFM-based method for nucleating and manipulating graphene auto-kirigami ribbons via AFM indentation combined with high-setpoint 'hard tapping' imaging. This approach is asserted to achieve high yields in timeframes comparable to prior multi-axial nanoindentation systems, while also enabling dynamic imaging, extensional growth, rotation, and reversal of ribbons, all on any conventional AFM without specialized equipment.

Significance. If the performance claims hold with quantitative validation, the work would increase accessibility of auto-kirigami structures for NEMS applications by removing dependence on multi-axial systems. The absence of any yield statistics, time comparisons, or imaging evidence in the manuscript prevents assessment of whether this significance is realized.

major comments (3)
  1. [Abstract] Abstract: The central assertions of 'high yields' and 'comparable timeframes' to multi-axial methods are presented without any supporting quantitative data, yield percentages, time measurements, or direct comparisons, leaving the method claim unsupported.
  2. [Method description] Method description (paragraph on AFM-based indentation and hard tapping): No specific AFM parameters (setpoint values, scan rates, tip types), experimental conditions, or protocol details are provided, making it impossible to evaluate reproducibility or the reliability of nucleation on conventional AFMs.
  3. [Results/claims section] Results/claims section: The manuscript contains no images, statistics, or metrics demonstrating successful ribbon nucleation, manipulation, or dynamic imaging, so the weakest assumption (reliable high-yield performance on any conventional AFM) cannot be assessed.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for their detailed comments. We agree that the current manuscript lacks the quantitative data, specific parameters, and supporting images needed to substantiate the performance claims. We will revise the manuscript to include these elements, addressing all points raised.

read point-by-point responses

  1. Referee: [Abstract] Abstract: The central assertions of 'high yields' and 'comparable timeframes' to multi-axial methods are presented without any supporting quantitative data, yield percentages, time measurements, or direct comparisons, leaving the method claim unsupported.

    Authors: We agree that the abstract claims are unsupported without data. In revision, we will add specific quantitative results: yield percentages from repeated trials, measured timeframes for nucleation compared to multi-axial systems, and direct numerical comparisons. These will be supported by new figures and tables. revision: yes

  2. Referee: [Method description] Method description (paragraph on AFM-based indentation and hard tapping): No specific AFM parameters (setpoint values, scan rates, tip types), experimental conditions, or protocol details are provided, making it impossible to evaluate reproducibility or the reliability of nucleation on conventional AFMs.

    Authors: We acknowledge the omission of parameters. The revised manuscript will include detailed AFM settings (e.g., setpoint ranges, scan rates, tip specifications), experimental conditions, and a step-by-step protocol to enable reproducibility assessment on standard AFMs. revision: yes

  3. Referee: [Results/claims section] Results/claims section: The manuscript contains no images, statistics, or metrics demonstrating successful ribbon nucleation, manipulation, or dynamic imaging, so the weakest assumption (reliable high-yield performance on any conventional AFM) cannot be assessed.

    Authors: We agree the current version lacks visual and statistical evidence. Revision will incorporate AFM images of nucleation, manipulation, and dynamic imaging, along with statistics (e.g., success rates, metrics on growth/rotation) from multiple experiments to validate the claims. revision: yes

Circularity Check

0 steps flagged

No significant circularity

full rationale

The paper is a purely experimental methods description introducing an AFM-based protocol for nucleating and manipulating graphene auto-kirigami ribbons. No equations, parameter fits, derivations, or formal logical chains exist that could reduce to inputs by construction. Central claims rest on empirical protocol performance rather than any self-definitional, fitted-prediction, or self-citation structure. This matches the provided reader's assessment of score 0.0 with no load-bearing steps to scrutinize.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

No mathematical model, free parameters, or invented physical entities are introduced; the contribution is an experimental protocol description.

pith-pipeline@v0.9.1-grok · 5658 in / 1111 out tokens · 30993 ms · 2026-06-30T04:54:14.902693+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

18 extracted references

  1. [1]

    T. W. Ebbesen, H. Hiura, Advanced Materials 1995, 7, 582

    1995

  2. [2]

    K. Kim, Z. Lee, B. D. Malone, K. T. Chan, B. Alemán, W . Regan, W. GanneƩ, M. F . Crommie, M. L. Cohen, A. ZeƩl, Phys. Rev. B 2011, 83, 245433

    2011

  3. [3]

    M. K. Blees, A. W. Barnard, P . A. Rose, S. P . Roberts, K. L. McGill, P . Y . Huang, A. R. Ruyack, J. W. Kevek, B. Kobrin, D. A. Muller, P . L. McEuen, Nature 2015, 524, 204

    2015

  4. [5]

    He, Y .-B

    Z.-Z. He, Y .-B. Zhu, H.-A. Wu, Front. Phys. 2018, 13, 138111

    2018

  5. [6]

    A. F. Fonseca, D. S. Galvão, MRS Advances 2018, 3, 463

    2018

  6. [7]

    A. F. Fonseca, D. S. Galvão, Carbon 2019, 143, 230

    2019

  7. [8]

    X. Chen, L. Zhang, Y . Zhao, X. Wang, C. Ke, Journal of Applied Physics 2014, 116, 164301

    2014

  8. [9]

    J. C. Rode, D. Smirnov, C. Belke, H. Schmidt, R. J. Haug, Annalen der Physik 2017, 529, 1700025

    2017

  9. [10]

    J. C. Rode, D. Zhai, C. Belke, S. J. Hong, H. Schmidt, N. Sandler, R. J. Haug, 2D Mater. 2018, 6, 015021

    2018

  10. [11]

    D. A. Sánchez, L. Yuan, A. Leventhal, S. Fulco, G. L. W. Cross, R. W. Carpick, Langmuir 2025, 41, 4491

    2025

  11. [13]

    J. C. Spear, J. P . Custer, J. D. BaƩeas, Nanoscale 2015, 7, 10021

    2015

  12. [14]

    X. Feng, S. Kwon, J. Y . Park, M. Salmeron, ACS Nano 2013, 7, 1718

    2013

  13. [15]

    P . C. SinnoƩ, M. F. Jadidi, D. A. Sánchez, L. Yuan, R. W. Carpick, G. L. W. Cross, Small 2024, 20, 2401979

    2024

  14. [16]

    PiƩenger, N

    B. PiƩenger, N. Erina, C. Su, Bruker ApplicaƟon Note AN128 2010. Supplement: Mechanical ManipulaƟon of Graphene Auto-Kirigami with an AFM Ɵp RotaƟon – with ribbon along fast scan axis We typically select the slow scan axis such that it is parallel to the ribbon growth direcƟon, as we observe that HT growth primarily occurs in the slow scan direcƟon. In Su...

    2010

  15. [17]

    AnneƩ, G

    J. AnneƩ, G. L. W. Cross, Nature 2016, 535, 271

    2016

  16. [18]

    L. N. Capaldi, L. Yuan, C. Qu, D. A. Sánchez, R. W. Carpick, O. A. Tertuliano, Nano LeƩ. 2025, 25, 3964

    2025

  17. [19]

    K. L. Johnson, Contact Mechanics, Cambridge University Press, Cambridge, 1992

    1992

  18. [20]

    X. Gao, F. Hao, D. Fang, Z. Huang, InternaƟonal Journal of Solids and Structures 2013, 50, 2620

    2013