Journal of Computational Physics: X - Elsevier | 2024 Cite Score:5.6 | Q1

Cite Score and Journal Rank of Journal of Computational Physics: X

• About: The Journal of Computational Physics: X is a peer-reviewed, open-access publication dedicated to the field of computational physics. It serves as a platform for researchers, scientists, and practitioners to publish original research articles, reviews, and technical notes that advance the understanding and application of computational methods in physics.
• Objective:
  The primary objective of the journal is to promote the dissemination of high-quality research in computational physics. It aims to facilitate the exchange of knowledge and innovative practices among experts working on the development and application of computational techniques to solve complex physical problems.
• Topics Covered:
  The Journal of Computational Physics: X covers a wide range of topics including: Numerical methods and algorithms Computational fluid dynamics Simulation of physical systems High-performance computing in physics Multiscale modeling Applications of computational physics in various fields such as materials science, astrophysics, and biophysics
• Impact:
  The journal significantly impacts both academia and industry by promoting research that enhances the understanding and application of computational methods in physics. Its publications contribute to the advancement of computational techniques, leading to more accurate and efficient solutions to physical problems.
• Significance:
  The Journal of Computational Physics: X is significant in advancing the field of computational physics by providing a forum for high-quality, peer-reviewed research. By addressing critical issues and innovations in computational methods, the journal supports the development of new techniques and applications that drive scientific and technological progress in understanding and solving complex physical phenomena.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Rémi Abgrall

• Scope: The Journal of Computational Physics: X focuses on publishing high-quality research in the field of computational physics. This journal covers a wide range of topics that involve the use of computational methods to solve physical problems. Here are the key areas typically covered in this journal:
• 1. Numerical Methods
  Development and analysis of new numerical algorithms
  Improvement of existing computational techniques
  Application of numerical methods to solve complex physical problems
• 2. Computational Fluid Dynamics (CFD)
  Simulation of fluid flow phenomena using computational methods
  Development of models for turbulent flow, multiphase flow, and reactive flow
  Applications of CFD in engineering, atmospheric science, and environmental studies
• 3. Computational Electromagnetics
  Numerical solutions of electromagnetic field problems
  Simulation of wave propagation, scattering, and radiation
  Applications in antenna design, microwave circuits, and optical systems
• 4. Computational Materials Science
  Simulation of material properties and behavior at the atomic and molecular level
  Development of computational models for predicting material performance
  Applications in the design and analysis of new materials
• 5. Computational Mechanics
  Numerical methods for solving problems in solid and structural mechanics
  Simulation of stress, strain, and deformation in materials and structures
  Applications in civil, mechanical, and aerospace engineering
• 6. Computational Chemistry and Biology
  Simulation of chemical reactions and biological processes
  Development of computational models for drug design and molecular biology
  Applications in pharmaceuticals, biotechnology, and environmental science
• 7. High-Performance Computing (HPC)
  Development and optimization of algorithms for parallel and distributed computing
  Applications of HPC in large-scale scientific simulations
  Performance analysis and scalability of computational methods
• 8. Quantum Computing
  Algorithms and simulations for quantum computing
  Applications of quantum computational methods in physics
  Development of quantum software and hardware
• 9. Multiscale and Multiphysics Modeling
  Methods for coupling simulations across different scales and physical phenomena
  Development of integrated computational frameworks
  Applications in complex systems such as climate modeling, energy systems, and biological systems
• 10. Data-Driven Methods
  Integration of machine learning and data mining techniques in computational physics
  Development of data-driven models and simulations
  Applications in predictive modeling and analysis of large datasets
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  25900552

  Electronic ISSN:  

• Abstracting and Indexing:  Scopus

• Imapct Factor :  

• Subject Area and Category:  Computer Science,Computer Science Applications, Engineering,Control and Systems Engineering,Electrical and Electronic Engineering,Mathematics,Applied Mathematics,Physics and Astronomy,Instrumentation

• Publication Frequency:  

• H Index:  18

• Best Quartile:

  Q1:  Computer Science Applications

  Q2:  

  Q3:  

  Q4:  

• Cite Score:  5.6

• SNIP:  1.264

• Journal Rank(SJR):  0.730

• Latest Articles:   Latest Articles in Journal of Computational Physics: X

• Guidelines for Authors: Journal of Computational Physics: X Author Guidelines

• Paper Submissions: Paper Submissions in Journal of Computational Physics: X

• Publisher:  Elsevier Inc.

  Country:  United States

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