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International Journal of Computational Materials Science and Surface Engineering - Inderscience | 2024 Cite Score:1.7 | Q4

International Journal of Computational Materials Science and Surface Engineering With Cite Score

Cite Score and Journal Rank of International Journal of Computational Materials Science and Surface Engineering

  • About: IJCMSSE provides a blend of theoretical and applied study of computational materials science and surface engineering. Its scope includes original contributions on materials science and engineering, surface engineering, and computational methods of modelling, simulation and prediction for designing materials and structures at all length scales. The journal aims to address solutions to current engineering problems in which computational materials science and surface engineering methods must be applied, and to publish state-of-the-art reviews of current problems that will stimulate research.

  • Editor-in-Chief:  Prof. Fei Yin

  • Scope: The International Journal of Computational Materials Science and Surface Engineering focuses on computational approaches to materials science and surface engineering. Its scope includes:
  • 1. Computational Materials Science: Research on computational methods for studying materials properties, including molecular dynamics, density functional theory (DFT), and quantum mechanical simulations.
  • 2. Materials Modeling: Studies on the modeling of materials at various scales, from atomic to macroscopic, including the development and application of computational models.
  • 3. Surface Science and Engineering: Research on the computational analysis of surface properties, including surface interactions, adsorption, and surface modifications.
  • 4. Nanomaterials and Nanostructures: Exploration of computational techniques for studying nanomaterials and nanostructures, including their synthesis, properties, and applications.
  • 5. Materials Design and Optimization: Studies on the computational design and optimization of materials for specific applications, including high-performance and multifunctional materials.
  • 6. Computational Thermodynamics: Research on the application of computational methods to thermodynamic properties and phase equilibria of materials.
  • 7. Multiscale Modeling: Exploration of multiscale approaches that integrate different levels of modeling, from atomic simulations to continuum models, to study materials behavior.
  • 8. Computational Mechanics: Research on computational methods for analyzing the mechanical properties and behavior of materials, including finite element analysis (FEA) and computational fluid dynamics (CFD).
  • 9. Surface and Interface Phenomena: Studies on computational investigations of surface and interface phenomena, including wetting, adhesion, and surface reactions.
  • 10. Material Degradation and Failure: Research on the computational study of material degradation, corrosion, and failure mechanisms.
  • 11. High-Throughput Screening: Exploration of high-throughput computational techniques for screening and discovering new materials with desirable properties.
  • 12. Computational Methods for Advanced Materials: Studies on computational approaches for advanced materials, including smart materials, composites, and functional materials.
  • 13. Integration of Experiment and Computation: Research on the integration of computational methods with experimental data to validate and refine models and predictions.
  • 14. Software and Tools Development: Development and application of computational tools and software for materials science and surface engineering research.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  1753-3465

    Electronic ISSN:  1753-3473

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:  Computer Science,Computer Science Applications,Engineering,Engineering (miscellaneous),Materials Science,Materials Science (miscellaneous),Mathematics,Modeling and Simulation

  • Publication Frequency:  

  • H Index:  14

  • Best Quartile:

    Q1:  

    Q2:  

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    Q4:  Engineering (miscellaneous)

  • Cite Score:  1.7

  • SNIP:  0.266

  • Journal Rank(SJR):  0.187