From polyhedra to crystals: a graph-theoretic framework for crystal structure generation.

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Title: From polyhedra to crystals: a graph-theoretic framework for crystal structure generation.
Authors: Yokoyama, Tomoyasu1 (AUTHOR) yokoyama.tomoyasu@jp.panasonic.com, Ichikawa, Kazuhide1 (AUTHOR), Naito, Hisashi2 (AUTHOR)
Source: CrystEngComm. 4/20/2026, Vol. 28 Issue 15, p2293-2304. 12p.
Subjects: Polyhedra, Crystal lattices, Permittivity, Graph theory, Ionic conductivity, Tessellations (Mathematics), Physics
Abstract: Crystal structures can be viewed as assemblies of space-filling polyhedra, which play a critical role in determining material properties such as ionic conductivity and dielectric constant. However, most conventional crystal structure prediction methods rely on random structure generation and do not explicitly incorporate polyhedral tiling, limiting their efficiency and interpretability. In this highlight, we introduced a novel crystal structure generation method based on discrete geometric analysis of polyhedral information. The geometry and topology of space-filling polyhedra are encoded as a dual periodic graph, and the corresponding crystal structure is obtained via the standard realization of this graph. We demonstrate the effectiveness of our approach by reconstructing face-centered cubic (FCC), hexagonal close-packed (HCP), and body-centered cubic (BCC) structures from their dual periodic graphs. This method offers a new pathway for systematically generating crystal structures based on target polyhedra, potentially accelerating the discovery of novel materials for applications in electronics, energy storage, and beyond. [ABSTRACT FROM AUTHOR]
Copyright of CrystEngComm is the property of Royal Society of Chemistry 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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  Data: From polyhedra to crystals: a graph-theoretic framework for crystal structure generation.
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  Data: <searchLink fieldCode="AR" term="%22Yokoyama%2C+Tomoyasu%22">Yokoyama, Tomoyasu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yokoyama.tomoyasu@jp.panasonic.com</i><br /><searchLink fieldCode="AR" term="%22Ichikawa%2C+Kazuhide%22">Ichikawa, Kazuhide</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Naito%2C+Hisashi%22">Naito, Hisashi</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22CrystEngComm%22">CrystEngComm</searchLink>. 4/20/2026, Vol. 28 Issue 15, p2293-2304. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Polyhedra%22">Polyhedra</searchLink><br /><searchLink fieldCode="DE" term="%22Crystal+lattices%22">Crystal lattices</searchLink><br /><searchLink fieldCode="DE" term="%22Permittivity%22">Permittivity</searchLink><br /><searchLink fieldCode="DE" term="%22Graph+theory%22">Graph theory</searchLink><br /><searchLink fieldCode="DE" term="%22Ionic+conductivity%22">Ionic conductivity</searchLink><br /><searchLink fieldCode="DE" term="%22Tessellations+%28Mathematics%29%22">Tessellations (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Physics%22">Physics</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Crystal structures can be viewed as assemblies of space-filling polyhedra, which play a critical role in determining material properties such as ionic conductivity and dielectric constant. However, most conventional crystal structure prediction methods rely on random structure generation and do not explicitly incorporate polyhedral tiling, limiting their efficiency and interpretability. In this highlight, we introduced a novel crystal structure generation method based on discrete geometric analysis of polyhedral information. The geometry and topology of space-filling polyhedra are encoded as a dual periodic graph, and the corresponding crystal structure is obtained via the standard realization of this graph. We demonstrate the effectiveness of our approach by reconstructing face-centered cubic (FCC), hexagonal close-packed (HCP), and body-centered cubic (BCC) structures from their dual periodic graphs. This method offers a new pathway for systematically generating crystal structures based on target polyhedra, potentially accelerating the discovery of novel materials for applications in electronics, energy storage, and beyond. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of CrystEngComm is the property of Royal Society of Chemistry 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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        Value: 10.1039/d5ce01176k
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 2293
    Subjects:
      – SubjectFull: Polyhedra
        Type: general
      – SubjectFull: Crystal lattices
        Type: general
      – SubjectFull: Permittivity
        Type: general
      – SubjectFull: Graph theory
        Type: general
      – SubjectFull: Ionic conductivity
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      – SubjectFull: Tessellations (Mathematics)
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      – SubjectFull: Physics
        Type: general
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      – TitleFull: From polyhedra to crystals: a graph-theoretic framework for crystal structure generation.
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            NameFull: Yokoyama, Tomoyasu
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            NameFull: Ichikawa, Kazuhide
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            NameFull: Naito, Hisashi
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            – D: 20
              M: 04
              Text: 4/20/2026
              Type: published
              Y: 2026
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