Esteban Martin enhanced the flipoyo/MOLONARI1D repository by implementing a two-dimensional diffusion simulation that models both charge and temperature, incorporating gradient calculations to improve the fidelity of diffusion processes. Using Python and Jupyter Notebook, Esteban focused on scientific computing and numerical methods to enable more accurate simulation outcomes, supporting better design decisions for physics-based applications. The update included a test-driven approach to validate gradient behavior, ensuring alignment with quality assurance standards and the project roadmap. This work demonstrated depth in data analysis and simulation modeling, delivering a robust feature that advances the repository’s capabilities in computational physics and engineering contexts.