Darius Azimi is a highly analytical Physicist with a robust foundation in Theoretical, subatomic, and Plasma Physics. With a career spanning multiple M.Sc. degrees from top Swedish and Iranian institution, I specialize in bridging the gap between complex theoretical frameworks and practical computational applications. My expertise lies in developing high-fidelity simulations—using PIC, Monte Carlo, and Molecular Dynamics—to investigate the linear and non-linear properties of dynamic physical systems. I am a published author in journals such as the International Journal of Modern Physics B, where I have contributed to the understanding of statistical physics, binary hard sphere mixtures, and quantum perturbation theory. By combining rigorous mathematical modeling with advanced software development in C++, Fortran, and Python, I deliver high-quality analytical solutions for complex equations using iterative solvers like GMRES and BICGSTAB. Whether driving academic research or consulting on technical subatomic systems, I am dedicated to pushing the boundaries of applied physics through algorithmic innovation and data-driven insights. Outside of my research, I have enjoyed contributing to the Swedish educational system as a substitute teacher, which has further refined my ability to communicate complex ideas in Swedish.
MS Computational Physics
2015-09-01
2017-12-30
Stocholm University
MS Theoretical & plasma Physics
2018-02-17
2019-07-15
Umea University
MS Subatomic Physics
2008-09-01
2011-06-16
Mazandaran University
Solid State Physics
2000-09-1
2004-06-15
Shahrood University of Technology
I am a physicist driven by a lifelong curiosity about how the world works at its most fundamental level. My academic journey has allowed me to explore several fascinating fields—from the statistical study of hard sphere mixtures to the intricate dynamics of plasma physics.
My work generally focuses on Computational Modeling and Theoretical Analysis. Rather than just looking for answers, I enjoy the process of building the tools using C++, Fortran, and Python that help us simulate and understand complex physical systems.
Currently, my research interests include:
• Simulating Dynamic Systems: Using methods like Particle-in-Cell (PIC) and Molecular Dynamics to explore how physical processes evolve over time.
• Numerical Problem Solving: Applying mathematical methods (such as GMRES and Conjugate Gradient) to solve the challenging equations that define our physical world.
• Continuous Learning: While I have published work regarding hydrogen-helium mixtures and perturbation theory, I am currently enjoying the challenge of expanding my knowledge into theoretical physics.
I believe that the best science happens through shared ideas and constant learning. I am always eager to connect with others who are passionate about physics, coding, or solving difficult analytical puzzles.
Please reach out to collaborate 😃
In this paper, we have investigated thermodynamic parameters of hydrogen and helium fluid mixture with assistance of statistical perturbation theory. The results have been compared …
Thermodynamic estimation is still too much requested for scientific applications in spite of great advances in simulation methods for efficient determination of phase equilibrium …
Experimental assessment of macroscopic thermo-dynamical parameters under extreme conditions is almost impossible and very expensive. Therefore, theoretical EOS for further …
Fluid perturbation theory serves as an effective framework for calculating the Equation of State (EOS) for binary mixtures across a broad range of temperatures and pressures.
Structure of hydrogen isotopes mixture is similar. Therefore, there is no difference between interacting potentials of these components. In this investigation, we used Buckingham …
I have updated my research profile to highlight my ongoing interests in Theoretical Physics and QCD. My experience with these fundamental frameworks—particularly in handling …
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