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Morphology-Dependent Percolation and Conductive Network Formation in Polymer Nanocomposites with Multi-Shaped Nanofillers.

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Title: Morphology-Dependent Percolation and Conductive Network Formation in Polymer Nanocomposites with Multi-Shaped Nanofillers.
Authors: Xu, Chang1 (AUTHOR) changxu@sdju.edu.cn, Zhao, Yixuan2 (AUTHOR), Zhang, Hualong1 (AUTHOR)
Source: Nanomaterials (2079-4991). Jan2026, Vol. 15 Issue 1, p52. 15p.
Subjects: Percolation, Polymeric nanocomposites, Electric networks, Morphology, Electric network topology, Filler materials
Abstract: The electrical performance of polymer nanocomposites strongly depends on the morphology of nanofillers and the structure of the resulting conductive networks. To elucidate the mechanisms governing conductive network formation in multi-morphology nanofiller systems, a ternary coarse-grained model composed of rod-, Y-, and X-shaped nanofillers is constructed. The effects of nanofiller volume fraction (VF) and nanofiller composition ratios on percolation behavior are systematically investigated. By incorporating an efficient cKDTree-based neighbor search method, conductive networks are identified and their topological characteristics are quantified with high computational efficiency. The results demonstrate that nanofiller morphology ratios play a crucial role in controlling local structural evolution and the percolation threshold. Statistical analyses of the main cluster size (MCs) and the number of clusters (Nc) further reveal the synergistic and competitive effects among different filler morphologies. The combination of filler morphologies is shown to be a key factor in determining the percolation threshold and network topology. The multi-morphology simulation framework together with structural characterization approach proposed in this work provide theoretical guidance for the rational design of high-performance conductive polymer nanocomposites. [ABSTRACT FROM AUTHOR]
Copyright of Nanomaterials (2079-4991) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
  Group: Ti
  Data: Morphology-Dependent Percolation and Conductive Network Formation in Polymer Nanocomposites with Multi-Shaped Nanofillers.
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  Data: <searchLink fieldCode="AR" term="%22Xu%2C+Chang%22">Xu, Chang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> changxu@sdju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhao%2C+Yixuan%22">Zhao, Yixuan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Hualong%22">Zhang, Hualong</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Nanomaterials+%282079-4991%29%22">Nanomaterials (2079-4991)</searchLink>. Jan2026, Vol. 15 Issue 1, p52. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Percolation%22">Percolation</searchLink><br /><searchLink fieldCode="DE" term="%22Polymeric+nanocomposites%22">Polymeric nanocomposites</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+networks%22">Electric networks</searchLink><br /><searchLink fieldCode="DE" term="%22Morphology%22">Morphology</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+network+topology%22">Electric network topology</searchLink><br /><searchLink fieldCode="DE" term="%22Filler+materials%22">Filler materials</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The electrical performance of polymer nanocomposites strongly depends on the morphology of nanofillers and the structure of the resulting conductive networks. To elucidate the mechanisms governing conductive network formation in multi-morphology nanofiller systems, a ternary coarse-grained model composed of rod-, Y-, and X-shaped nanofillers is constructed. The effects of nanofiller volume fraction (VF) and nanofiller composition ratios on percolation behavior are systematically investigated. By incorporating an efficient cKDTree-based neighbor search method, conductive networks are identified and their topological characteristics are quantified with high computational efficiency. The results demonstrate that nanofiller morphology ratios play a crucial role in controlling local structural evolution and the percolation threshold. Statistical analyses of the main cluster size (MCs) and the number of clusters (Nc) further reveal the synergistic and competitive effects among different filler morphologies. The combination of filler morphologies is shown to be a key factor in determining the percolation threshold and network topology. The multi-morphology simulation framework together with structural characterization approach proposed in this work provide theoretical guidance for the rational design of high-performance conductive polymer nanocomposites. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Nanomaterials (2079-4991) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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    Identifiers:
      – Type: doi
        Value: 10.3390/nano16010052
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 52
    Subjects:
      – SubjectFull: Percolation
        Type: general
      – SubjectFull: Polymeric nanocomposites
        Type: general
      – SubjectFull: Electric networks
        Type: general
      – SubjectFull: Morphology
        Type: general
      – SubjectFull: Electric network topology
        Type: general
      – SubjectFull: Filler materials
        Type: general
    Titles:
      – TitleFull: Morphology-Dependent Percolation and Conductive Network Formation in Polymer Nanocomposites with Multi-Shaped Nanofillers.
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            NameFull: Xu, Chang
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            NameFull: Zhao, Yixuan
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            NameFull: Zhang, Hualong
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            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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            – TitleFull: Nanomaterials (2079-4991)
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