FLUID MIXTURE PERTURBATION THEORY BASED ON EXP-6 HARDSPHERE SYSTEM

Jul 1, 2011·
Dariush Azimi
Dariush Azimi
Equal contribution
,
D. Azimi, S. M. Motevalli
Equal contribution
· 1 min read
Image credit: Unsplash
Abstract
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. In this study, the constituent species are modeled using a pair potential that accounts for short-range repulsion and long-range attraction, incorporated via a Buckingham exp-6 potential. Given that D2 and T2 are light elements, quantum effects are addressed using a first-order quantum correction within the Wigner-Kirkwood expansion framework. Utilizing an advanced EOS model and statistical mechanical perturbation theory, we investigate the influence of varying pressure and temperature on the properties of D2 + T2 fluid mixtures. Finally, the EOS for these mixtures is predicted across an extensive range of pressures, temperatures, and reduced densities.
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In 3rd Universiti Teknologi MARA, Pulau Pinang, MALAYSIA International Conference on Science and Technology:
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Fundumental and Statistical Physics
Dariush Azimi
Authors
Dariush Azimi (he/him)
Physicist & Computational Specialist

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.

Authors
D. Azimi, S. M. Motevalli