A Python package for simulations of RHEED intensity oscillations within the kinematical approximation.

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Title: A Python package for simulations of RHEED intensity oscillations within the kinematical approximation.
Authors: Daniluk, Bartłomiej1 (AUTHOR), Daniluk, Andrzej1 (AUTHOR) andrzej.daniluk@poczta.umcs.lublin.pl, Wójcik, Grzegorz M.1 (AUTHOR)
Source: Computer Physics Communications. Aug2026, Vol. 325, pN.PAG-N.PAG. 1p.
Subjects: Reflection high energy electron diffraction, Thin film deposition, Software engineering, Python programming language, Approximation error, Nonlinear differential equations, Simulation software
Abstract: This paper presents a new software implementation in the form of a PY_GROWTH package, specifically designed for the analysis of models of growth of thin epitaxial films and the corresponding RHEED intensities according to the kinematical approximation. This implementation translates and modernizes legacy C ++ simulation algorithms into a highly optimized, testable Python package. PY_GROWTH provides three separate universal engines for solving initial value problem for nonlinear differential equations, any of which can be used depending on the scale of computations. Program title: PY_GROWTH. CPC Library link to program files: https://doi.org/10.17632/zkpwhrrfng.2. Licensing provisions: BSD 3-clause. Programming language: Python 3.12.7. Journal reference of previous version: Computer Physics Communications 283 (2023) 108,587. Does the new version supersede the previous version?: Yes. [ABSTRACT FROM AUTHOR]
Copyright of Computer Physics Communications is the property of Elsevier B.V. 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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DbLabel: Engineering Source
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  Data: A Python package for simulations of RHEED intensity oscillations within the kinematical approximation.
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  Data: <searchLink fieldCode="AR" term="%22Daniluk%2C+Bartłomiej%22">Daniluk, Bartłomiej</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Daniluk%2C+Andrzej%22">Daniluk, Andrzej</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> andrzej.daniluk@poczta.umcs.lublin.pl</i><br /><searchLink fieldCode="AR" term="%22Wójcik%2C+Grzegorz+M%2E%22">Wójcik, Grzegorz M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Computer+Physics+Communications%22">Computer Physics Communications</searchLink>. Aug2026, Vol. 325, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Reflection+high+energy+electron+diffraction%22">Reflection high energy electron diffraction</searchLink><br /><searchLink fieldCode="DE" term="%22Thin+film+deposition%22">Thin film deposition</searchLink><br /><searchLink fieldCode="DE" term="%22Software+engineering%22">Software engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Python+programming+language%22">Python programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Approximation+error%22">Approximation error</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+differential+equations%22">Nonlinear differential equations</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+software%22">Simulation software</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper presents a new software implementation in the form of a PY_GROWTH package, specifically designed for the analysis of models of growth of thin epitaxial films and the corresponding RHEED intensities according to the kinematical approximation. This implementation translates and modernizes legacy C ++ simulation algorithms into a highly optimized, testable Python package. PY_GROWTH provides three separate universal engines for solving initial value problem for nonlinear differential equations, any of which can be used depending on the scale of computations. Program title: PY_GROWTH. CPC Library link to program files: https://doi.org/10.17632/zkpwhrrfng.2. Licensing provisions: BSD 3-clause. Programming language: Python 3.12.7. Journal reference of previous version: Computer Physics Communications 283 (2023) 108,587. Does the new version supersede the previous version?: Yes. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Computer Physics Communications is the property of Elsevier B.V. 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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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.cpc.2026.110186
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Reflection high energy electron diffraction
        Type: general
      – SubjectFull: Thin film deposition
        Type: general
      – SubjectFull: Software engineering
        Type: general
      – SubjectFull: Python programming language
        Type: general
      – SubjectFull: Approximation error
        Type: general
      – SubjectFull: Nonlinear differential equations
        Type: general
      – SubjectFull: Simulation software
        Type: general
    Titles:
      – TitleFull: A Python package for simulations of RHEED intensity oscillations within the kinematical approximation.
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            NameFull: Daniluk, Bartłomiej
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            NameFull: Daniluk, Andrzej
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            NameFull: Wójcik, Grzegorz M.
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            – D: 01
              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
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              Value: 325
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            – TitleFull: Computer Physics Communications
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