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Preprints of the Keldysh Institute of Applied Mathematics, 2018, 230, 42 pp.
DOI: https://doi.org/10.20948/prepr-2018-230
(Mi ipmp2588)
 

This article is cited in 4 scientific papers (total in 4 papers)

Blender software platform as an environment for modeling objects and processes of science disciplines

S. V. Filippov
References:
Abstract: An introductory description of the Blender Python API is given, which is necessary for numerical simulation in the open source software platform of three-dimensional modeling, animation and rendering — Blender. The basic methods of 3D-modeling of research objects are considered on the example of building dynamic molecular models and models of the ocean bed fragment of the Arctic Ocean using calculated and external (experimental) data presented both numerically and in the form of graphic images. Examples of programs in the Python language are given, demonstrating the basic methods of working with basic data. The complex task of creating analytical visualization of the dynamic molecular model of the beta-2 adrenoreceptor according to the data of molecular dynamics research is described.
Keywords: 3D, modeling, analytical visualization, Blender, Python, API, beta-2 adrenoreceptor, beta-2 adrenergic receptor, molecular dynamics.
Funding agency Grant number
Russian Foundation for Basic Research 18-07-00354_а
18-07-00223_а
Bibliographic databases:
Document Type: Preprint
Language: Russian
Citation: S. V. Filippov, “Blender software platform as an environment for modeling objects and processes of science disciplines”, Keldysh Institute preprints, 2018, 230, 42 pp.
Citation in format AMSBIB
\Bibitem{Fil18}
\by S.~V.~Filippov
\paper Blender software platform as an environment for modeling objects and processes of science disciplines
\jour Keldysh Institute preprints
\yr 2018
\papernumber 230
\totalpages 42
\mathnet{http://mi.mathnet.ru/ipmp2588}
\crossref{https://doi.org/10.20948/prepr-2018-230}
\elib{https://elibrary.ru/item.asp?id=36458522}
Linking options:
  • https://www.mathnet.ru/eng/ipmp2588
  • https://www.mathnet.ru/eng/ipmp/y2018/p230
  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Препринты Института прикладной математики им. М. В. Келдыша РАН
    Statistics & downloads:
    Abstract page:702
    Full-text PDF :407
    References:40
     
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