About 9th International Conference on Mathematical Modeling in Physical Sciences:
The conference aims to promote the knowledge and the development of high-quality research in mathematical fields that have to do with the applications of other scientific fields and the modern technological trends that appear in them, these fields being those of Physics, Chemistry, Biology, Medicine, Economics, Sociology, Environmental sciences etc.
Conference topics:
- Applications: Engineering systems, Environmental systems, Operation research, Applications in medicine, Biotechnology, Logistics and planning, Medicine
- Applied Mathematics: Fractional calculus, Numerical methods, ODE’s and PDE’s, Financial mathematics, Fuzzy logic, Efficient solvers, Nonlinear problems, Bifurcations, Stability, Chaos and Fractals
- Computational Chemistry: Techniques in Computational Chemistry, Molecular vibrations, Drug design, QM/MM approach to Computational Chemistry, Molecular dynamics
- Education
- Modeling in Education
- Evolutionary Computation
- Evolutionary methods
- Mathematical Modeling in Applications of Fundamental Physics: Weather forecast, Climate change, Earth science, Planetary science, Biophysics, Materials science, Prediction of natural phenomena, Interdisciplinary applications
- Mathematical Modeling in Applied Physics: Semiconductor devices, Thin films, Superconductors, Organic molecules, Bioelectronics, Infrastructure design
- Mathematical Modeling in Fundamental Physics: High-energy physics, Particle physics, Nuclear physics, Atomic physics, Molecular physics, Gravitation, Cosmology, Astrophysics, Plasma physics, Electrodynamics, Fluid dynamics, Condensed-matter physics, Chemical physics, Chaos, Statistical physics, Sociophysics
- Modeling: Model formulation, Automation of modeling, Computer modeling, Qualitative modeling, Modular modeling and interdisciplinary modeling, Learning networks / uncertainties in modeling, Methodologies for model validation, Fitting mathematical models to real processes, Multiscale modeling, multiphysics modeling
- Scientific Computation: Algorithms for scientific computation, Parallel algorithms and parallel computing, Grid computations, Mathematical programming, Heuristics, metaheuristics or simulation, Complex physical and technical systems, Experimental data processing, Distributed scientific computing
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