Research Utilities 🛠️#

Welcome to the Research Utilities section of my website. This space is dedicated to providing a collection of tools, resources, and materials that I have found invaluable in my journey through computational mechanics and programming for scientific research. Whether you’re a student, a professional researcher, or someone exploring computational sciences, I hope these resources will support your work and learning.

What You’ll Find Here 🔍📚#

This section is divided into several key categories to make it easier for you to navigate and locate resources relevant to your field of interest:

  1. From basic scripts to advanced frameworks, programming is a critical skill for modern research. In this section, you will find:

    • 📝 Sample Python scripts for scientific computing

    • 📖 Tutorials on key libraries like NumPy, SciPy, Pandas, and Matplotlib

    • 📘 Practical guides on C++, Fortran, and parallel computing

    • 🛠️ Git workflows for version control in research environments

  2. If your research involves computational mechanics, this section will serve as a quick access point for:

    • 🧮 Finite Element Method (FEM) open-source codes and examples

    • 🔧 Guides on popular software

    • 📊 Numerical methods for solving partial differential equations (PDEs)

    • 🖼️ Mesh generation and post-processing tips using tools like Gmsh and ParaView

  3. Knowledge is key to success, and here I share my top recommendations for:

    • 📙 Essential books on computational mechanics, numerical methods, and applied mathematics

    • 🎥 Online courses (both free and paid) that cover topics such as advanced programming for scientific applications, machine learning in science, and numerical analysis

    • 📰 Journals and papers that provide deep insights into the latest trends in computational science

Why These Resources? 🤔💡#

As a research scientist, I have compiled these resources through years of experience in solving complex mechanical and computational problems. The tools and references provided here are handpicked to ensure they are practical, useful, and directly applicable to the challenges faced by today’s researchers.