Computational Particle Mechanics

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Journal Properties
  • Country
    Switzerland
  • Language
    English
  • Number of Articles
    728
  • Abbreviation
    Comput Part Mech
  • ISSN
    2196-4378
  • e-ISSN
    2196-4386
  • Main Publisher
    Springer Nature
  • Publisher
    Springer Science and Business Media LLC
  • Indian UGC
  • DOAJ (latest)
Journal Properties
  • Science
    Mathematics
    Technology
    Chemical technology
    Technology
    Electrical engineering
    Electronics
    Nuclear engineering
    Materials of engineering and construction
    Mechanics of materials
    Technology
    Engineering (General)
    Civil engineering (General)
    Mechanics of engineering
    Applied mechanics
    Technology
    Mechanical engineering and machinery
  • website
Description
Computational Particle Mechanics is a peer-reviewed journal devoted to the advancement of computational methods for particle-based simulations. Its primary focus lies in the application of these techniques to a wide range of engineering and scientific disciplines. This journal offers a platform for cutting-edge research, innovative methodologies, and insightful applications of particle mechanics. 150 characters first: Showcases research on computational methods using particle-based simulations in engineering and science. The journal emphasizes techniques such as Smoothed Particle Hydrodynamics (SPH), the Discrete Element Method (DEM), and particle finite element methods (PFEM). It covers a broad spectrum of topics, including fluid dynamics, granular materials, multi-physics problems, and structural mechanics. Target audiences include researchers, engineers, and academics who utilize computational methods in particle mechanics. Indexed in databases such as Scopus and Web of Science, it ensures high visibility for published work. Computational Particle Mechanics encourages submissions that demonstrate practical applications and novel approaches to solving complex problems. By providing a forum for the exchange of ideas and the latest advancements, this journal contributes to the ongoing development and refinement of particle-based computational techniques. Open for submissions, it strives to be at the forefront of innovation in the field.