INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION
Scope & Guideline
Pioneering Insights in Engineering and Data Analysis
Introduction
Aims and Scopes
- Mathematical Modelling:
The journal emphasizes the formulation and analysis of mathematical models to describe complex phenomena in fields such as fluid dynamics, thermal processes, and biological systems. - Simulation Techniques:
A core area of the journal is the advancement and application of simulation techniques, including numerical methods, computational fluid dynamics, and machine learning algorithms, to solve real-world problems. - Interdisciplinary Research:
The journal encourages interdisciplinary research that combines concepts from physics, engineering, biology, and environmental science, facilitating innovative solutions and insights. - Nanofluid Dynamics:
A significant focus is placed on the study of nanofluids, including their thermal and flow characteristics, which are critical for applications in heat transfer and energy systems. - Renewable Energy Systems:
Research related to the modeling and simulation of renewable energy systems, such as solar and wind energy, is prominently featured, reflecting the journal's commitment to sustainability. - Control Systems:
The journal also explores control systems, particularly in the context of power systems and automation, highlighting the importance of robust control methodologies.
Trending and Emerging
- Machine Learning Applications:
There is a growing trend in the application of machine learning techniques to enhance modeling and simulation processes, particularly in predictive analytics and optimization across various domains. - Bioconvection and Biological Systems:
Research on bioconvection and the dynamics of biological systems, particularly involving nanofluids and microbial interactions, is increasingly prominent, showcasing the journal's commitment to addressing ecological and health-related issues. - Thermal Management in Nanofluids:
An emerging focus on thermal management and heat transfer efficiency in nanofluids signifies a shift towards improving energy systems and materials science. - Renewable Energy Integration:
The integration of renewable energy sources into existing systems, particularly through advanced modeling and simulation techniques, is gaining traction as global energy demands shift. - Fractional Calculus in Modeling:
The use of fractional calculus in modeling complex systems is on the rise, reflecting an interest in capturing memory and hereditary properties in various physical phenomena.
Declining or Waning
- Traditional Fluid Dynamics:
Research focused solely on classical fluid dynamics without incorporating modern computational techniques or interdisciplinary approaches is becoming less frequent, as the field evolves towards more complex, multi-physics interactions. - Basic Statistical Methods:
Papers relying heavily on traditional statistical methods without integration with advanced computational or machine learning techniques are waning, as researchers increasingly seek innovative analytical frameworks. - Single-Domain Studies:
There is a noticeable decline in studies that focus exclusively on a single domain, such as purely mechanical or electrical systems, as interdisciplinary approaches that integrate multiple domains are gaining favor.
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