Applied Mathematical Modelling is an academic journal published by Elsevier. (ISSN 0307-904X, impact factor 5.1).
Applied Mathematical Modelling focuses on significant and novel scientific developments for mathematical modelling and computational methods and tools for engineering, industrial and environmental systems and processes leading to future innovations and novel technologies.
The topics considered are: heat transfer, fluid mechanics, computational fluid dynamics and electromagnetics, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and magnetohydrodynamics; reliability modelling and system optimization; modelling of inventory, industrial, manufacturing and logistics systems with managerial insights; engineering systems and structures; mineral and energy resources; software engineering developments; digital twins; materials; unmanned vehicles; robotics; network traffic control; energy sustainability models; optimization; population dynamics with realistic scenarios; high-performance methods for data-driven engineering applications; numerical procedures; computational intelligence in complex engineering problems.
Applied Mathematical Modelling is primarily interested in:
Papers developing increased insights into real-world problems through novel analytical or semi-analytical mathematical and computational modelling.
Papers with multi- and interdisciplinary topics, including linking with data driven models and applications.
Papers on novel applications or a combination with the above.
Papers employing existing methods must demonstrate significant novelty in the solution of practical problems. Model validation, verification and reproducibility is a fundamental principle for published papers.
Papers based on fuzzy logic in decision-making, financial mathematics, heuristic algorithms, neural networks, data modelling, game-theoretical, fractional differential equations, bifurcation and numerical methods papers are not considered unless they solve practical problems, supported by reasonable empirical evidence. Submissions with no real-world application will not be considered.
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