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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]
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Database: Engineering Source
Description
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]
ISSN:00104655
DOI:10.1016/j.cpc.2026.110186