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Quantitative Modeling of Nanopore Formation in 2D MoS2 by Swift Heavy-Ion Irradiation.

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Affiliations

  • 1. Faculty of Physics and CENIDE, University of Duisburg-Essen, Duisburg 47057, Germany.
      Authors
    • Liebsch Y 1
    • Madauß L 1
    • Maas A 1
    • Breuer L 1
    • Schleberger M 1
    (5 authors)
  • 2. Department of Physics and Helsinki Institute of Physics, University of Helsinki, Helsinki 000014, Finland.
      Authors
    • Leino A 2
    • Muinos HV 2
    • Djurabekova F 2
    (3 authors)
  • 3. Faculty of Physics, University of Vienna, Vienna 1090, Austria.
      Authors
    • Singh R 3
    • Tripathi M 3
    • Kotakoski J 3
    (3 authors)
  • 4. Instituto de Física, Universidade Federal do Rio Grande do Sul, Porto Alegre 91500, Brazil.
      Authors
    • Grande PL 4
    (1 author)
  • 5. Ruder Bošković Institute, Zagreb 10000, Croatia.
      Authors
    • Tomić Luketić K 5
    • Karlušić M 5
    (2 authors)
    • Show all (9)

ORCIDs linked to this article

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ACS Applied Materials & Interfaces, 20 Jan 2026,
https://doi.org/10.1021/acsami.5c20044 PMID: 41556423 

Abstract 

Swift heavy-ion irradiation provides a versatile route for nanostructuring two-dimensional (2D) materials, with potential applications ranging from membrane engineering to electronic and sensing technologies. Here, we combine high-resolution scanning transmission electron microscopy with atomistic simulations to demonstrate controlled nanopore formation in monolayer MoS2, with pore sizes governed by stochastic energy transfer. By incorporating electron bunching, spatial straggling, and energy loss through escaping particles, our energy-transfer model quantitatively reproduces experimental pore size distributions and surpasses conventional stopping power predictions. These results deepen our understanding of ion-matter interactions in 2D systems and enable the controlled fabrication of functional nanostructures via ion irradiation.

Full text links 

Read article at publisher's site: https://doi.org/10.1021/acsami.5c20044

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    Funding 

    Funders who supported this work.

    Austrian Science Fund FWF (1)

    • Grant ID: 10.55776/COE5

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    Bundesministerium f?r Bildung und Forschung (1)

    • Grant ID: 05K19PG1

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    Deutsche Forschungsgemeinschaft (1)

    Hrvatska Zaklada za Znanost (1)

    National Science Foundation (1)

    R?gion Normandie

      Research Council of Finland (2)

      • Grant ID: 349690

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      • Grant ID: 352518

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