The Journal of Mathematics, Physics and Mechanics (JMPM) publishes original research articles, review articles, systematic reviews, short communications, technical reports, computational studies, theoretical investigations, case-based engineering analyses, and perspective articles that advance knowledge across mathematics, physics, mechanics, and interdisciplinary scientific research. The journal welcomes high-quality contributions from researchers, academicians, engineers, and industry professionals working at the interface of theoretical science, computational methods, and practical applications.
We welcome submissions across a broad range of thematic areas, including (but not limited to):
Pure Mathematics
- Algebra, abstract algebra, and linear algebra
- Number theory and arithmetic structures
- Geometry, differential geometry, and topology
- Real analysis, complex analysis, and functional analysis
- Mathematical logic, set theory, and foundational mathematics
Applied Mathematics
- Mathematical modeling of physical and engineering systems
- Optimization techniques and operations research
- Numerical analysis and approximation methods
- Computational algorithms and scientific computing
- Mathematical methods for industrial and technological applications
Differential Equations & Dynamical Systems
- Ordinary and partial differential equations
- Nonlinear dynamical systems and chaos theory
- Stability, bifurcation, and control analysis
- Boundary value problems and inverse problems
- Mathematical modeling of time-dependent systems
Probability, Statistics & Data Science
- Probability theory and stochastic processes
- Statistical inference and applied statistics
- Bayesian methods and predictive modeling
- Data analysis and uncertainty quantification
- Mathematical foundations of data science
Computational Mathematics & Scientific Computing
- High-performance scientific computing
- Numerical simulation and computational algorithms
- Finite difference, finite element, and spectral methods
- Parallel computing and mathematical software development
- Large-scale computational modeling
Mathematical Physics
- Mathematical foundations of classical and quantum physics
- Quantum mechanics and quantum field theory
- Statistical physics and thermodynamics
- Electromagnetic theory and wave propagation
- Relativity and mathematical cosmology
Theoretical & Applied Physics
- Condensed matter and solid-state physics
- Atomic, molecular, and optical physics
- Plasma physics and nuclear physics
- Particle physics and high-energy physics
- Astrophysics, cosmology, and space sciences
Mechanics
- Classical and analytical mechanics
- Continuum mechanics and solid mechanics
- Fluid mechanics and computational fluid dynamics
- Structural and engineering mechanics
- Fracture mechanics, elasticity, and plasticity
Materials & Engineering Mechanics
- Mechanics of advanced materials
- Composite and smart materials
- Structural integrity and failure analysis
- Multiscale mechanics and material characterization
- Mechanical behavior under extreme environments
Computational Mechanics
- Finite element analysis and numerical mechanics
- Computational structural analysis
- Multiphysics simulation and coupled systems
- Engineering simulations and predictive modeling
- Mesh generation and adaptive computational techniques
Artificial Intelligence & Computational Intelligence
- Artificial intelligence in mathematical sciences
- Machine learning for physical modeling
- Data-driven computational mechanics
- Intelligent optimization algorithms
- Scientific computing using deep learning
Interdisciplinary Mathematical Sciences
- Engineering mathematics
- Mathematical biology and biomedical modeling
- Financial mathematics and actuarial science
- Cryptography, coding theory, and information security
- Network science and complex systems
Emerging Areas in Mathematics, Physics & Mechanics
- Quantum computing and quantum information science
- Computational materials science
- Renewable energy modeling and simulation
- Digital twins and intelligent engineering systems
- Advanced mathematical methods for emerging technologies
Interdisciplinary Research & Scientific Innovation
- Mathematics integrated with engineering and computer science
- Physics-driven computational technologies
- Mathematical approaches for environmental and climate research
- Scientific visualization and computational imaging
- Emerging interdisciplinary methodologies across mathematics, physics, and mechanics
The Journal of Mathematics, Physics and Mechanics is committed to publishing rigorous, innovative, and impactful research that advances theoretical understanding while addressing practical scientific and engineering challenges. By fostering collaboration among mathematicians, physicists, engineers, computational scientists, and interdisciplinary researchers, the journal aims to accelerate scientific discovery, promote technological innovation, and contribute to the advancement of global knowledge in the mathematical and physical sciences.