Introduction:
My research is driven by a fundamental question: how can we mathematically model and predict the behavior of the physical world? The way reality can be formulated through calculus and differential equations—and then translated into code for a computer to solve—is what captured my imagination early in my academic career. 

I am Farhan Noor, a Physics graduate from the University of Dhaka, and I specialize in Computational Materials Modeling, employing advanced numerical methods to simulate and understand complex material systems at the atomic and molecular scale I utilize Density Functional Theory (DFT). By modeling materials from first principles, I aim to uncover the detailed interactions that drive these phenomena and contribute to the discovery of new functional materials.

To execute this research, I have developed a robust technical workflow:

• Scientific Computing: I am proficient in C++ and Python, which I use as my primary tools for data analysis, algorithmic implementation, and scientific visualization.

• Computational Environment: I primarily operate within Linux environments to manage high-throughput DFT simulations and analyze large datasets.

• Design & Visualization: I complement my modeling expertise with FreeCAD, allowing me to bridge the gap between theoretical concepts and practical applications through 3D technical drawings and experimental design.

Currently, I use DFT to explore the mechanisms of superconductivity in new materials, which is important for both basic research and real-world applications. 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. 

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 bridge the gap between theoretical concepts and practical applications.