PHD at Mohammed V University, Rabat, Morocco
Mestapha Arejdal, PhD, is a physicist specializing in computational modeling and condensed matter physics. With teaching experience at the University of Marrakech and research tenure at Mohammed V University, Rabat, his work delves into Spintronics and magnetic refrigeration materials. His expertise lies in Monte Carlo simulations and Ab-initio methods, contributing to advancements in energy harvesting and green technologies. Arejdal’s publications in renowned journals and roles as a reviewer underscore his commitment to scientific rigor. Proficient in various programming languages and fluent in French and English, he blends theoretical prowess with practical applications, fostering innovation in physics and beyond.
Professional Profiles:
Academic Background
2014-2017: PhD in Physics, specializing in Computer Physics and Condensed Matter Modeling, Mohammed V University, Rabat, Morocco. 2012-2014: Master in Physics Informatics, Faculty of Sciences, Mohammed V University, Rabat, Morocco. 2011-2012: Licence in Energy Physics, University Ibn ZOHR, Agadir, Morocco. 2009-2011: Diploma of General University Studies in Physics, University Ibn ZOHR, Agadir, Morocco. 2008-2009: Bachelor of Experimental Sciences in Physics, High School Moulay Abdellah Ben Hassain, Agadir, Morocco
Academic Positions
2017-2019: Teacher at the private University of Marrakech. 2017-2019: Researcher at Laboratory of Condensed Matter and Interdisciplinary Sciences (LaMCScI), Faculty of Sciences, Mohammed V University, Rabat, Morocco
Area of Research Interests
Enjoys reading and traveling. Demonstrates strong teamwork, adaptability, flexibility, and autonomy.
Skills
Proficient in modeling and computer science tools such as Matlab, Scilab, Fortran, and Gaussian. Experienced in programming languages like C and C++. Fluent in French and English.
Research Focus:
Specializes in the theoretical study of magnetic properties and the magnetocaloric effect of materials, particularly in Spintronics (Dendrimer models) and magnetic refrigeration materials (MnAs/MnBi). Expertise in Monte Carlo simulations, Ab-initio methods (DFT), and mean-field approximation. Investigates nanomaterials and complex systems for potential applications in energy harvesting and green technologies.
Publications
- Prediction of the magnetocaloric behaviors of the Kekulene structure for the magnetic refrigeration, cited by: 17, Publication date: 2020.
- Structural and optical properties of Zn1−x−yAlx SiyO wurtzite heterostructure thin film for photovoltaic applications, cited by: 2, Publication date: 2020.
- The theoretical study of the magneto-caloric effect in a nano-structure formed on a Dendrimer structure, cited by: 4, Publication date: 2020.
- Magneto-caloric effect in Pb2CoUO6 with the second-order phase transition, Publication date: 2021.
- The electronic, magnetic and optical properties of Ba2MUO6 compounds with (M = Ni, Co, Cd and Zn): DFT calculation, cited by: 2, Publication date: 2021.
- The magnetic cooling of YTiO3 compound for magnetic refrigeration, cited by: 3, Publication date: 2022.
- Magnetic cooling and critical exponents at near room temperature: The SrCoO3 perovskite,Publication date: 2022.
- Effect of Thickness Size on Magnetic Behavior of Layered Ising Nanocube Fe/Co/Fe: a Monte Carlo Simulation, Publication date: 2022.
- Effects of size for an assembly of core-shell nanoparticles with the cubic structure: Monte Carlo simulations, Publication date: 2022.
- Theoretical aspects of magnetic, magnetocaloric, and critical exponents: Nanomaterial model, Publication date: 2023.
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