Multiscale Modeling and Simulation - Society for Industrial and Applied Mathematics Publications | 2023 Cite Score:2.8 | Q1

Cite Score and Journal Rank of Multiscale Modeling and Simulation

• About: Multiscale Modeling and Simulation (MMS) is a peer-reviewed journal dedicated to the development and application of multiscale modeling and simulation techniques across various scientific and engineering disciplines. The journal focuses on the integration of models and simulations at different scales, from atomic to macroscopic, to better understand complex systems and phenomena. MMS aims to provide a platform for the dissemination of innovative research that advances the field of multiscale modeling and enhances its applications in real-world problems.
• Objective:
  The primary objective of MMS is to advance the field of multiscale modeling and simulation by publishing high-quality research that addresses the challenges and opportunities associated with modeling and simulating complex systems across multiple scales. The journal seeks to explore new methodologies, algorithms, and applications that enhance the accuracy, efficiency, and scope of multiscale simulations. MMS aims to foster collaboration and knowledge exchange among researchers, practitioners, and educators involved in multiscale modeling and simulation.
• Interdisciplinary Approach:
  MMS embraces an interdisciplinary approach, encouraging contributions from fields such as physics, materials science, biology, chemistry, engineering, and applied mathematics. This approach ensures a comprehensive exploration of multiscale modeling issues, integrating theoretical, computational, and experimental perspectives. By fostering interdisciplinary research, the journal aims to address complex problems and develop innovative solutions that span multiple scales and applications.
• Impact:
  The journal has a significant impact on both academic research and practical applications in the field of multiscale modeling and simulation. It is widely cited by researchers and practitioners who seek to understand and apply multiscale techniques in their work. The research published in MMS contributes to the development of new modeling frameworks, simulation tools, and applications, influencing a wide range of fields including materials science, engineering, biology, and environmental science. The journal also serves as a valuable resource for educators and students in the field of multiscale modeling.
• Significance:
  MMS plays a crucial role in advancing the study and application of multiscale modeling and simulation by publishing high-quality research that addresses key challenges and explores new opportunities. Its contributions support the development of effective and innovative modeling techniques that enhance the understanding and simulation of complex systems. The journals interdisciplinary focus and commitment to excellence make it an essential resource for anyone involved in the research, development, and application of multiscale modeling and simulation technologies. Through its rigorous scholarship and broad coverage, MMS helps shape the future of multiscale modeling and its impact on science and engineering.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Liliana Borcea

• Scope: The Multiscale Modeling and Simulation (MMS) journal focuses on the development and application of multiscale modeling techniques to solve complex problems in various scientific and engineering domains. Its scope includes, but is not limited to:
• Multiscale Modeling Frameworks: Development and analysis of frameworks and methodologies for integrating models at different scales, from molecular and microscopic to macroscopic levels.
• Computational Methods and Algorithms: Research on computational techniques and algorithms for solving multiscale problems, including adaptive methods, parallel computing, and high-performance computing.
• Applications in Materials Science: Studies on the application of multiscale modeling to materials science, including the prediction of material properties, microstructure, and performance.
• Biological Systems: Research on multiscale models in biological systems, including cellular, tissue, and organism-level simulations, and their applications to health and disease.
• Fluid Dynamics and Transport Phenomena: Application of multiscale modeling to fluid dynamics and transport phenomena, including turbulent flows, porous media, and multiphase systems.
• Structural Mechanics: Studies on multiscale modeling in structural mechanics, including the prediction of deformation, failure, and performance of structures and materials.
• Climate and Environmental Modeling: Research on the application of multiscale modeling to climate and environmental systems, including climate change, atmospheric processes, and ecosystem dynamics.
• Multiscale Simulation in Engineering: Application of multiscale modeling techniques to engineering problems, including design optimization, process simulation, and system analysis.
• Data Integration and Uncertainty Quantification: Techniques for integrating experimental data with multiscale models and methods for quantifying and managing uncertainty in multiscale simulations.
• Hybrid Modeling Approaches: Development of hybrid models that combine different types of modeling approaches, such as continuum and discrete models, to address complex problems.
• Model Validation and Verification: Methods and practices for validating and verifying multiscale models against experimental data and theoretical benchmarks.
• Algorithm Development and Software Tools: Research on the development of algorithms and software tools for implementing and solving multiscale models.
• Applications in Medicine and Health Sciences: Use of multiscale modeling techniques to address problems in medicine and health sciences, including drug delivery, tissue engineering, and disease modeling.
• Theoretical Foundations: Exploration of the theoretical aspects of multiscale modeling, including mathematical foundations, model reduction, and scale bridging.
• Case Studies and Practical Applications: Real-world case studies demonstrating the application of multiscale modeling techniques to solve practical problems in various fields.
• Interdisciplinary Research: Encouragement of interdisciplinary research that combines multiscale modeling with other scientific and engineering disciplines.
• The journal provides a platform for researchers, practitioners, and engineers to share their contributions to the field of multiscale modeling and simulation, promoting advancements in both theory and application.
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  1540-3459

  Electronic ISSN:  1540-3467

• Abstracting and Indexing:  Scopus

• Imapct Factor :  

• Subject Area and Category:  Chemistry,Chemistry (miscellaneous),Computer Science,Computer Science Applications,Environmental Science, Ecological Modeling,Mathematics,Modeling and Simulation,Physics and Astronomy,Physics and Astronomy (miscellaneous)

• Publication Frequency:  

• H Index:  77

• Best Quartile:

  Q1:  Chemistry (miscellaneous)

  Q2:  

  Q3:  

  Q4:  

• Cite Score:  3.2

• SNIP:  1.034

• Journal Rank(SJR):  0.906

• Latest Articles:   Latest Articles in Multiscale Modeling and Simulation

• Guidelines for Authors: Multiscale Modeling and Simulation Author Guidelines

• Paper Submissions: Paper Submissions in Multiscale Modeling and Simulation

• Publisher:  Society for Industrial and Applied Mathematics Publications

  Country:  United States

• Paper Writing Services - S-Logix
• Paper Publication Support - S-Logix