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Computational Materials Science - Elsevier | 2024 Impact Factor:3.3 | Cite Score:6.6 | Q1

Computational Materials Science Journal

Impact Factor and Journal Rank of Computational Materials Science

  • About: Computational Materials Science, published by Elsevier, is a leading scholarly journal that focuses on the application of computational methods and techniques to the study and understanding of materials. The journal serves as a platform for researchers and practitioners to publish original research, innovative methodologies, and theoretical advancements in the field of computational materials science.
  • Publication Types:
    Research Articles: Original research contributions that present new methodologies, theoretical results, or significant applications in computational materials science.
    Review Articles: Comprehensive reviews of state-of-the-art computational methodologies, recent advancements, and emerging trends in materials science.
    Technical Notes: Short papers that report on novel findings, experimental results, or developments in computational materials science methodologies.
  • Impact and Contribution:
    Computational Materials Science aims to advance the understanding of materials through computational modeling and simulation, facilitate collaboration among researchers globally, and contribute to the development of new materials with tailored properties and functionalities. For detailed submission guidelines and access to published articles, please visit the official Elsevier Computational Materials Science journal page.

  • Editor-in-Chief:  Susan Sinnott

  • Scope: Computational Methods: The journal explores the development and application of computational techniques, algorithms, and simulations to predict, model, and analyze the properties, behavior, and performance of materials.
  • Material Properties: Emphasis is placed on the computational study of material properties including mechanical, thermal, electronic, magnetic, and optical properties.
  • Material Structures: Coverage includes the use of computational methods to investigate the atomic and molecular structures, phase transformations, and defects in materials.
  • Materials Modeling: Contributions span various types of materials such as metals, alloys, ceramics, polymers, composites, and nanomaterials.
  • Multiscale Approaches: The journal encourages research that integrates multiscale modeling techniques, bridging from atomistic and molecular scales to macroscopic properties.
  • Applications: Computational studies applied to material design, discovery, optimization, and performance in various industrial and technological applications.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  09270256

    Electronic ISSN:  

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus

  • Imapct Factor 2024:  3.3

  • Subject Area and Category:   Chemistry, Chemistry (miscellaneous), Computer Science, Computer Science (miscellaneous), Engineering Mechanics of Materials, Materials Science, Materials Science (miscellaneous), Mathematics, Computational Mathematics, Physics and Astronomy, Physics and Astronomy (miscellaneous)

  • Publication Frequency:  

  • H Index:  154

  • Best Quartile:

    Q1:  Computer Science (miscellaneous)

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  6.6

  • SNIP:  0.994

  • Journal Rank(SJR):  0.782