Search of Dense Plain Nets in Crystal Structures by Cluster Analysis.

Saved in:
Bibliographic Details
Title: Search of Dense Plain Nets in Crystal Structures by Cluster Analysis.
Authors: Rashchenko, S. V.1,2 (AUTHOR) rashchenko@igm.nsc.ru
Source: Journal of Structural Chemistry. May2025, Vol. 66 Issue 5, p966-972. 7p.
Subjects: Unit cell, Cluster analysis (Statistics), Python programming language, Crystal structure, Fourier analysis
Abstract: The concept of dense plain atomic nets in crystal structures is commonly used in descriptive and comparative crystal chemistry and in polytype studies. To automatize the search of such nets, algorithms based on the Fourier analysis of atomic positions in unit cells have been developed since 1980s. However, these approaches have a number of limitations. As an alternative and addition to Fourier approaches, we propose a cluster analysis algorithm in the direct space and consider its implementation in the nets module of a the crystchemlib open-source Python library. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Structural Chemistry is the property of Springer Nature 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.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 185620974
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Search of Dense Plain Nets in Crystal Structures by Cluster Analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Rashchenko%2C+S%2E+V%2E%22">Rashchenko, S. V.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> rashchenko@igm.nsc.ru</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Structural+Chemistry%22">Journal of Structural Chemistry</searchLink>. May2025, Vol. 66 Issue 5, p966-972. 7p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Unit+cell%22">Unit cell</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+analysis+%28Statistics%29%22">Cluster analysis (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Python+programming+language%22">Python programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Crystal+structure%22">Crystal structure</searchLink><br /><searchLink fieldCode="DE" term="%22Fourier+analysis%22">Fourier analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The concept of dense plain atomic nets in crystal structures is commonly used in descriptive and comparative crystal chemistry and in polytype studies. To automatize the search of such nets, algorithms based on the Fourier analysis of atomic positions in unit cells have been developed since 1980s. However, these approaches have a number of limitations. As an alternative and addition to Fourier approaches, we propose a cluster analysis algorithm in the direct space and consider its implementation in the nets module of a the crystchemlib open-source Python library. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Structural Chemistry is the property of Springer Nature 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=185620974
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1134/S0022476625050105
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 966
    Subjects:
      – SubjectFull: Unit cell
        Type: general
      – SubjectFull: Cluster analysis (Statistics)
        Type: general
      – SubjectFull: Python programming language
        Type: general
      – SubjectFull: Crystal structure
        Type: general
      – SubjectFull: Fourier analysis
        Type: general
    Titles:
      – TitleFull: Search of Dense Plain Nets in Crystal Structures by Cluster Analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Rashchenko, S. V.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 00224766
          Numbering:
            – Type: volume
              Value: 66
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Journal of Structural Chemistry
              Type: main
ResultId 1