Applied Mathematics on Science and Engineering

Aims and Scope

Aims

The journal Applied Mathematics on Science and Engineering (ISSN: 3048-8362) aims to publish high-quality, peer-reviewed research that advances the development, analysis, and application of mathematical methods to problems arising in science, engineering, and technology. The journal serves as an interdisciplinary platform for mathematicians, scientists, and engineers to communicate innovative theoretical results, computational techniques, and practical applications of applied mathematics.

The journal emphasizes mathematical rigor combined with clear relevance to real-world scientific and engineering problems, fostering the interaction between mathematical theory and applied practice.

Scope

The journal welcomes original research articles, review papers, and short communications in all areas of applied mathematics, including but not limited to:

Core Applied Mathematics

• Differential equations (ordinary, partial, fractional, and functional)

• Integral equations and integro-differential equations

• Dynamical systems and chaos theory

• Numerical analysis and scientific computing

• Iterative methods and nonlinear equations

• Optimization and variational methods

• Linear and nonlinear functional analysis

• Applied linear algebra and matrix analysis

Computational and Numerical Methods

• Numerical methods for engineering problems

• Computational fluid dynamics (CFD)

• Finite element, finite difference, and spectral methods

• High-performance and parallel computing

• Error analysis and convergence studies

• Basin of attraction and dynamical behavior of algorithms

Applications in Science and Engineering

• Mathematical modeling in physics, chemistry, and materials science

• Engineering mathematics and control theory

• Fluid mechanics and heat transfer

• Solid mechanics and structural analysis

• Signal processing and image analysis

• Mathematical biology, epidemiology, and biomedical modeling

• Environmental and geophysical modeling

• Energy systems and renewable energy modeling

Emerging and Interdisciplinary Areas

• Fractional calculus and its applications

• Data-driven modeling and applied machine learning

• Uncertainty quantification and stochastic modeling

• Network science and complex systems

• Mathematical methods in artificial intelligence

• Applications in finance and industrial engineering