⚡️ Highlighting My Foundation in Theoretical Physics
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⚡️ Highlighting My Foundation in Theoretical Physics

Feb 10, 2026·
Dariush Azimi
Dariush Azimi
· 3 min read
Image credit: HugoBlox
blog

I’ve updated my research profile to highlight my ongoing interests in Theoretical Physics and Lattice QCD. My experience with these fundamental frameworks—particularly in handling complex computational models and non-perturbative phenomena—forms the backbone of my approach to solving intricate problems in nuclear science and fluid perturbation theory.

My foundation remains rooted in Theoretical Physics. I find that the rigorous mathematical discipline required for QCD simulations provides a unique advantage when calculating first-order quantum corrections for applications. It’s all about understanding the fundamental forces to predict real-world behavior.

Table of Contents

Why publish notebooks?

Tip

Reproducible Research: By publishing the actual notebook, you allow others to download and run your code, verifying your results and building upon your work.

  • No more screenshots – Render crisp code and vector plots directly from your source.
  • Theme consistent – Notebooks automatically adapt to your site’s theme (including dark mode).
  • Flexible sourcing – Display notebooks from your assets/ folder, page bundles, or even directly from a remote GitHub URL.
  • Interactive – Users can copy code blocks or download the full notebook to run locally.

Example: Data Science Workflow

Below is a live example of a notebook rendered right here in this post. Notice how the markdown, code, and outputs (text, HTML, and JSON) are all preserved and styled.

Launch Readiness Analysis

Python · Kernel: Python 3 · nbformat 4.5 · 6 cells

Download notebook
Markdown

Ship Notebook Stories in Minutes

Hugo Blox Notebook renderer turns your .ipynb experiments into beautiful long-form posts. Use this sample to see how markdown, code, and outputs flow together.

Markdown
  1. Drop notebooks inside assets/notebooks/ (or import them as page resources).
  2. Reference them with {{</* notebook src="your.ipynb" */>}}.
  3. Control code, outputs, metadata badges, and download links via shortcode params.
In [1]
demo quickstart
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import math
accuracy = 0.982
print("Collecting data...")
print("Training notebook-ready block...")
print("Done!")
accuracy
Collecting data...
Training notebook-ready block...
Done!
0.982
In [2]
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from IPython.display import HTML
HTML("<div style='font-family:Inter,ui-sans-serif;'><strong>Launch Readiness:</strong> <span style='color:#22c55e;'>98.2% confidence</span><br><em>Notebook blocks are theme-aware and dark-mode friendly.</em></div>")
Launch Readiness: 98.2% confidence
Notebook blocks are theme-aware and dark-mode friendly.
In [3]
metrics
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metrics = {
    'metrics': {
        'engagement_rate': 0.73,
        'read_time_minutes': 4.6,
        'subscribers': 1280
    }
}
metrics
{
  "metrics": {
    "engagement_rate": 0.73,
    "read_time_minutes": 4.6,
    "subscribers": 1280
  }
}
Markdown

Tip: Pair this block with Call-to-Action cards or the Embed shortcode to link to GitHub repos, datasets, or ARXIV preprints.

Powered by Hugo Blox Kit - https://github.com/HugoBlox/kit

How to add a notebook

  1. Save your notebook. Place your .ipynb file in assets/notebooks/ (for global access) or inside a page bundle (like content/blog/my-post/analysis.ipynb).
  2. Add the shortcode. In any Markdown page, simply use: {{< notebook src="analysis.ipynb" >}}
  3. Customize. You can hide code cells for non-technical audiences (show_code=false) or just show the output (show_outputs=true).
Important

Hugo Blox respects your privacy. Notebook rendering happens statically at build time—no third-party services required.

Next steps

  • Try it out: Drop one of your existing notebooks into this site and see how it looks.
  • Link your papers: Use the Embed shortcode to link your notebook to your latest arXiv preprint or GitHub repository.
  • Get help: Join the community on Discord or check the documentation.

Happy researching! 🚀

Dariush Azimi
Authors
Physicist & Computational Specialist

Darius Azimi is a highly analytical Physicist with a robust foundation in Theoretical, subatomic, and Plasma Physics. With a career spanning multiple M.Sc. degrees from top Swedish and Iranian institution, I specialize in bridging the gap between complex theoretical frameworks and practical computational applications. My expertise lies in developing high-fidelity simulations—using PIC, Monte Carlo, and Molecular Dynamics—to investigate the linear and non-linear properties of dynamic physical systems. ​I am a published author in journals such as the International Journal of Modern Physics B, where I have contributed to the understanding of statistical physics, binary hard sphere mixtures, and quantum perturbation theory. By combining rigorous mathematical modeling with advanced software development in C++, Fortran, and Python, I deliver high-quality analytical solutions for complex equations using iterative solvers like GMRES and BICGSTAB. Whether driving academic research or consulting on technical subatomic systems, I am dedicated to pushing the boundaries of applied physics through algorithmic innovation and data-driven insights. Outside of my research, I have enjoyed contributing to the Swedish educational system as a substitute teacher, which has further refined my ability to communicate complex ideas in Swedish.