Dr. Arash Pakravesh | Physical Chemistry | Best Researcher Award
Senior Researcher | Energy and Thermodynamics Research Organization | Iran
Dr. Arash Pakravesh is a leading researcher in thermodynamics, specializing in the development and application of equations of state, with particular emphasis on the Statistical Associating Fluid Theory (SAFT). His work integrates theoretical modeling, computational simulations, and experimental validations to accurately describe the thermophysical properties of pure compounds and complex mixtures, including hydrogen and industrial solvents. By systematically evaluating and comparing models such as PρT-SAFT, PC-SAFT, CPA, and cubic equations of state, he advances the predictive capability of density, thermal expansion, isothermal compressibility, heat capacities, speed of sound, and vapor pressures in diverse chemical systems. His research significantly contributes to hydrogen technology, renewable energy applications, and industrial process optimization. With extensive publications in high-impact journals and active collaborations across more than 20 research groups, Dr. Pakravesh has established a strong international presence. His Google Scholar profile reports 78 citations, an h-index of 5, and an i10-index of 3, while Scopus shows 72 citations across 52 documents with an h-index of 4, highlighting his growing impact in the thermodynamics community. Beyond publications, he has contributed to patents, consultancy projects, and editorial boards, reinforcing his commitment to both academic advancement and industrial relevance. Dr. Pakravesh’s research combines rigorous scientific methodology with practical applications, positioning him as a key contributor to the development of advanced thermodynamic models and their implementation in chemical engineering and energy systems.
Profiles : Google Scholar | Scopus | Orcid
Featured Publications :
Pakravesh, A., Mohammadi, A. H., & Richon, D. (2025). A comparative evaluation of friction theory, free-volume theory, entropy scaling, and Helmholtz energy scaling viscosity models coupled with the PρT-SAFT equation of state for pure and binary mixtures of ethylene glycols and alkanolamines. International Journal of Thermophysics, 46, 98.
Pakravesh, A., Mohammadi, A. H., & Richon, D. (2025). Modeling of supercritical hydrogen thermodynamic properties using cubic and SAFT type equations of state. The Journal of Supercritical Fluids, 106588.
Pakravesh, A., Mohammadi, A. H., & Richon, D. (2025). Performance evaluation of PρT-SAFT, PρT-PC-SAFT, PC-SAFT, and CPA equations of state for predicting density, thermal expansion coefficient, isothermal compressibility, isobaric heat capacity, speed of sound, and saturated vapor pressure of three pure ethylene glycols and their mixtures. International Journal of Thermophysics, 46, 30.
Pakravesh, A., & Zarei, H. (2024). Thermodynamic modeling of pure, binary, and ternary mixtures of alkanolamines using three versions of SAFT equations of state. Journal of Chemical Engineering Data, 70(3), 1182–1194.
Pakravesh, A. (2025). From molecules to industry: The expanding role of SAFT equation of state in engineering science. Clareus Scientific Science and Engineering, 2, 01–03.