Introduction:
I have a strong background in Physics, with a focus on using computational methods in understanding various phenomena. My research mainly involves modeling materials from first principles, using a method called Density Functional Theory (DFT). This technique helps me study and predict the properties of different materials, especially their electronic structure, with great accuracy. Moreover, I use DFT to explore the mechanisms of superconductivity in new materials, which is important for both basic research and real-world applications. As a researcher, I am dedicated to learning more about material properties through first-principles methods. My work on superconductivity not only looks at the detailed interactions that cause this effect but also aims to contribute to the discovery of new materials. With my knowledge of physics and computational methods, I am driven to make important contributions to the discipline.

To do this work, I have developed my skill in programming, especially in C++ and Python, and I mainly work in a Linux environment. I use these tools to run and analyze DFT simulations, allowing me to study how materials behave at the atomic level. My programming skills not only enable me to solve complex problems in materials science but also allow me to work with large datasets and support data visualization for my research. 

In addition, I have complemented my materials modeling expertise with the ability to use basic functions of the CAD (Computer-Aided Design) software FreeCAD for 3D modeling and creating technical drawings. This skill allows me to visualize complex structures, design experimental setups, and produce precise diagrams that bridge the gap between theoretical concepts and practical applications.