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Scope & Guideline
Pioneering Research Across Diverse Mathematical Disciplines
Introduction
Aims and Scopes
- Machine Learning and AI Applications:
A significant portion of the journal's content focuses on the application of machine learning and artificial intelligence to solve complex problems in physics, biology, and engineering, reflecting a growing trend towards data-driven methodologies. - Dynamics and Control Systems:
Research on the dynamics, control, and synchronization of complex systems, including neural networks, robotic systems, and fluid dynamics, is prominently featured, indicating an emphasis on both theoretical exploration and practical implementation. - Nanofluid and Thermal Dynamics:
The journal publishes extensive studies on nanofluid behaviors and thermal dynamics, exploring their applications in energy systems, biomedical engineering, and environmental science, highlighting the relevance of nanotechnology in modern research. - Epidemiological Modeling:
With the recent global health challenges, the journal includes a substantial number of papers on mathematical modeling of infectious diseases, particularly COVID-19, showcasing the importance of quantitative analysis in public health. - Astrophysics and Particle Physics:
The journal addresses foundational questions in particle physics and astrophysics, including studies on neutrinos, dark matter, and cosmic phenomena, indicating a strong commitment to fundamental scientific inquiries. - Fractional Calculus and Complex Systems:
Papers exploring fractional calculus and its applications in various complex systems are prevalent, demonstrating the journal's focus on advanced mathematical techniques for modeling real-world phenomena.
Trending and Emerging
- Quantum Computing and Quantum Technologies:
Research related to quantum computing, quantum information science, and applications of quantum technologies is rapidly increasing, showcasing the journal's commitment to cutting-edge advancements in this area. - Multistability and Chaotic Systems:
There is a growing interest in the exploration of multistability and chaotic behaviors in various systems, indicating a trend towards understanding complex dynamics and their applications in fields such as neuroscience and engineering. - Sustainable Energy and Environmental Dynamics:
Papers addressing sustainable energy solutions and environmental dynamics, particularly those integrating nanotechnology and advanced materials, are becoming more prominent, reflecting a global emphasis on sustainability. - Neuroscience and Brain Dynamics:
With a notable increase in research on neural networks and brain dynamics, the journal highlights a trend towards understanding complex biological systems and their implications for health and technology. - Advanced Materials and Nanotechnology:
The journal is increasingly featuring research on advanced materials, particularly nanomaterials and their applications in various fields, indicating a strong trend towards innovation in material science.
Declining or Waning
- Classical Mechanics and Traditional Physics:
There has been a noticeable decline in papers strictly focused on classical mechanics, as researchers increasingly gravitate towards complex systems and interdisciplinary studies that incorporate modern technologies and theoretical frameworks. - Static Models in Epidemiology:
The focus on static or deterministic models in epidemiology has waned, with more researchers favoring dynamic and stochastic approaches that better reflect the complexities of disease spread and control. - Traditional Imaging Techniques:
Research centered around traditional imaging techniques has seen a decrease as newer, more advanced imaging technologies and methodologies gain prominence and attention in the scientific community.
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