<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PhD Dissertation |</title><link>https://example.com/tags/phd-dissertation/</link><atom:link href="https://example.com/tags/phd-dissertation/index.xml" rel="self" type="application/rss+xml"/><description>PhD Dissertation</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 13 Nov 2025 00:00:00 +0000</lastBuildDate><image><url>https://example.com/media/icon_hu_702a800cd775dbac.png</url><title>PhD Dissertation</title><link>https://example.com/tags/phd-dissertation/</link></image><item><title>⚡️ PhD Dissertation Defense - Success!</title><link>https://example.com/blog/notebook-onboarding/</link><pubDate>Thu, 13 Nov 2025 00:00:00 +0000</pubDate><guid>https://example.com/blog/notebook-onboarding/</guid><description>&lt;p&gt;During my Ph.D. research, I had the opportunity to explore a fascinating area of materials science: the development of &lt;strong&gt;nitrogen-doped graphene (N-G) and N-G/MOF nanocatalysts&lt;/strong&gt; as sustainable alternatives to precious metal catalysts for electrochemical energy systems. My dissertation, titled &lt;strong&gt;“Material Degradation and Analysis of N-Doped Graphene/MOF Nanocatalysts for ORR in Electrochemical Energy Systems,”&lt;/strong&gt; focuses on understanding how these advanced carbon-based materials behave during catalytic reactions.&lt;/p&gt;
&lt;p&gt;The central question guiding this work was simple but important: &lt;strong&gt;how can we design efficient, durable, and affordable catalysts that can replace expensive precious metals like platinum?&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;To explore this, I investigated the relationships between &lt;strong&gt;material synthesis, structure, and catalytic performance.&lt;/strong&gt; A major focus of the research was understanding how different &lt;strong&gt;nitrogen functional groups in graphene&lt;/strong&gt; influence the catalytic activity of the oxygen reduction reaction (ORR), which plays a key role in technologies such as fuel cells and metal–air batteries.&lt;/p&gt;
&lt;p&gt;Through a combination of &lt;strong&gt;material synthesis, structural characterization, and electrochemical testing,&lt;/strong&gt; I examined how the integration of metal–organic frameworks (MOFs) with nitrogen-doped graphene modifies the electronic structure and catalytic active sites. Techniques such as &lt;strong&gt;linear sweep voltammetry (LSV), cyclic voltammetry (CV)&lt;/strong&gt; helped reveal how these materials perform under different electrochemical environments, including both alkaline and acidic conditions.&lt;/p&gt;
&lt;p&gt;Another important aspect of the research involved understanding &lt;strong&gt;material durability.&lt;/strong&gt; In real electrochemical systems, catalysts can degrade over time due to reactive species such as &lt;strong&gt;hydrogen peroxide and related oxidative intermediates.&lt;/strong&gt; My work investigated how these species affect catalyst stability and how the structure of materials such as &lt;strong&gt;ZIF-8-derived components&lt;/strong&gt; behaves in aqueous electrochemical environments.&lt;/p&gt;
&lt;p&gt;Overall, this research helped clarify several key aspects of &lt;strong&gt;structure–performance relationships in carbon-based nanocatalysts&lt;/strong&gt;, offering insights that can guide the design of more efficient and durable catalyst materials.&lt;/p&gt;
&lt;p&gt;Looking ahead, I am excited to continue working on &lt;strong&gt;next-generation electrochemical materials for sustainable energy systems.&lt;/strong&gt; My future interests include scalable catalyst synthesis, durability engineering, and structure-driven performance optimization for technologies such as &lt;strong&gt;fuel cells, batteries, and other clean energy systems.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Ultimately, my goal is to contribute to the development of &lt;strong&gt;high-performance and cost-effective alternatives to precious metal catalysts,&lt;/strong&gt; helping accelerate the transition toward more sustainable and widely deployable energy technologies.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Happy to research and work toward a sustainable future! 🌱⚡&lt;/strong&gt;&lt;/p&gt;
&lt;details class="print:hidden xl:hidden" open&gt;
&lt;summary&gt;Table of Contents&lt;/summary&gt;
&lt;div class="text-sm"&gt;
&lt;nav id="TableOfContents"&gt;&lt;/nav&gt;
&lt;/div&gt;
&lt;/details&gt;
&lt;!--
## Why publish notebooks?
&gt; [!TIP]
&gt; **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.
&lt;div id="hb-notebook-86b2483a72d99021c62bf6617361405b" class="hb-notebook not-prose" data-hb-component="notebook" aria-label="Notebook Launch Readiness Analysis" style="--hb-notebook-output-max-height:26rem;"&gt;
&lt;div class="hb-notebook-header"&gt;
&lt;div class="hb-notebook-heading"&gt;
&lt;p class="hb-notebook-title"&gt;Launch Readiness Analysis&lt;/p&gt;
&lt;p class="hb-notebook-subtitle"&gt;Python · Kernel: Python 3 · nbformat 4.5 · 6 cells&lt;/p&gt;
&lt;/div&gt;
&lt;a class="hb-notebook-download" href="https://example.com/blog/notebook-onboarding/hugoblox-onboarding.ipynb" download&gt;
&lt;svg class="w-4 h-4" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"&gt;&lt;path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.5" d="M3 16.5v2.25A2.25 2.25 0 0 0 5.25 21h13.5A2.25 2.25 0 0 0 21 18.75V16.5M16.5 12L12 16.5m0 0L7.5 12m4.5 4.5V3"/&gt;&lt;/svg&gt;
&lt;span&gt;Download notebook&lt;/span&gt;
&lt;/a&gt;
&lt;/div&gt;
&lt;dl class="hb-notebook-metadata"&gt;
&lt;div&gt;
&lt;dt&gt;Language&lt;/dt&gt;
&lt;dd&gt;Python&lt;/dd&gt;
&lt;/div&gt;
&lt;div&gt;
&lt;dt&gt;Version&lt;/dt&gt;
&lt;dd&gt;3.11&lt;/dd&gt;
&lt;/div&gt;
&lt;div&gt;
&lt;dt&gt;Kernel&lt;/dt&gt;
&lt;dd&gt;Python 3 python3&lt;/dd&gt;
&lt;/div&gt;
&lt;div&gt;
&lt;dt&gt;nbformat&lt;/dt&gt;
&lt;dd&gt;4.5&lt;/dd&gt;
&lt;/div&gt;
&lt;div&gt;
&lt;dt&gt;Authors&lt;/dt&gt;
&lt;dd&gt;HugoBlox Studio&lt;/dd&gt;
&lt;/div&gt;
&lt;/dl&gt;&lt;div class="hb-notebook-body"&gt;&lt;article class="hb-notebook-cell hb-notebook-cell--markdown" data-cell-type="markdown"&gt;
&lt;header class="hb-notebook-cell-header"&gt;
&lt;span class="hb-notebook-pill"&gt;Markdown&lt;/span&gt;
&lt;/header&gt;
&lt;div class="hb-notebook-markdown prose dark:prose-invert"&gt;
&lt;h1 id="ship-notebook-stories-in-minutes"&gt;Ship Notebook Stories in Minutes&lt;/h1&gt;
&lt;p&gt;Hugo Blox Notebook renderer turns your &lt;code&gt;.ipynb&lt;/code&gt; experiments into beautiful long-form posts.
Use this sample to see how markdown, code, and outputs flow together.&lt;/p&gt;
&lt;/div&gt;
&lt;/article&gt;&lt;article class="hb-notebook-cell hb-notebook-cell--markdown" data-cell-type="markdown"&gt;
&lt;header class="hb-notebook-cell-header"&gt;
&lt;span class="hb-notebook-pill"&gt;Markdown&lt;/span&gt;
&lt;/header&gt;
&lt;div class="hb-notebook-markdown prose dark:prose-invert"&gt;
&lt;ol&gt;
&lt;li&gt;Drop notebooks inside &lt;code&gt;assets/notebooks/&lt;/code&gt; (or import them as page resources).&lt;/li&gt;
&lt;li&gt;Reference them with &lt;code&gt;{{&amp;lt;/* notebook src=&amp;quot;your.ipynb&amp;quot; */&amp;gt;}}&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Control code, outputs, metadata badges, and download links via shortcode params.&lt;/li&gt;
&lt;/ol&gt;
&lt;/div&gt;
&lt;/article&gt;&lt;article class="hb-notebook-cell hb-notebook-cell--code" data-cell-type="code"&gt;
&lt;header class="hb-notebook-cell-header"&gt;
&lt;span class="hb-notebook-pill"&gt;In [1]&lt;/span&gt;
&lt;div class="hb-notebook-tags"&gt;
&lt;span&gt;demo&lt;/span&gt;
&lt;span&gt;quickstart&lt;/span&gt;
&lt;/div&gt;
&lt;/header&gt;
&lt;div class="hb-notebook-code" data-language="python"&gt;&lt;div class="highlight"&gt;&lt;div class="chroma"&gt;
&lt;table class="lntable"&gt;&lt;tr&gt;&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code&gt;&lt;span class="lnt"&gt;1
&lt;/span&gt;&lt;span class="lnt"&gt;2
&lt;/span&gt;&lt;span class="lnt"&gt;3
&lt;/span&gt;&lt;span class="lnt"&gt;4
&lt;/span&gt;&lt;span class="lnt"&gt;5
&lt;/span&gt;&lt;span class="lnt"&gt;6
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-python" data-lang="python"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="nn"&gt;math&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="n"&gt;accuracy&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="mf"&gt;0.982&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nb"&gt;print&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="s2"&gt;&amp;#34;Collecting data...&amp;#34;&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nb"&gt;print&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="s2"&gt;&amp;#34;Training notebook-ready block...&amp;#34;&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nb"&gt;print&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="s2"&gt;&amp;#34;Done!&amp;#34;&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="n"&gt;accuracy&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;/div&gt;
&lt;div class="hb-notebook-outputs"&gt;&lt;pre class="hb-notebook-output hb-notebook-output--stream"&gt;&lt;code&gt;Collecting data...
Training notebook-ready block...
Done!
&lt;/code&gt;&lt;/pre&gt;
&lt;pre class="hb-notebook-output hb-notebook-output--text"&gt;&lt;code&gt;0.982&lt;/code&gt;&lt;/pre&gt;
&lt;/div&gt;
&lt;/article&gt;&lt;article class="hb-notebook-cell hb-notebook-cell--code" data-cell-type="code"&gt;
&lt;header class="hb-notebook-cell-header"&gt;
&lt;span class="hb-notebook-pill"&gt;In [2]&lt;/span&gt;
&lt;/header&gt;
&lt;div class="hb-notebook-code" data-language="python"&gt;&lt;div class="highlight"&gt;&lt;div class="chroma"&gt;
&lt;table class="lntable"&gt;&lt;tr&gt;&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code&gt;&lt;span class="lnt"&gt;1
&lt;/span&gt;&lt;span class="lnt"&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-python" data-lang="python"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="kn"&gt;from&lt;/span&gt; &lt;span class="nn"&gt;IPython.display&lt;/span&gt; &lt;span class="kn"&gt;import&lt;/span&gt; &lt;span class="n"&gt;HTML&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="n"&gt;HTML&lt;/span&gt;&lt;span class="p"&gt;(&lt;/span&gt;&lt;span class="s2"&gt;&amp;#34;&amp;lt;div style=&amp;#39;font-family:Inter,ui-sans-serif;&amp;#39;&amp;gt;&amp;lt;strong&amp;gt;Launch Readiness:&amp;lt;/strong&amp;gt; &amp;lt;span style=&amp;#39;color:#22c55e;&amp;#39;&amp;gt;98.2&lt;/span&gt;&lt;span class="si"&gt;% c&lt;/span&gt;&lt;span class="s2"&gt;onfidence&amp;lt;/span&amp;gt;&amp;lt;br&amp;gt;&amp;lt;em&amp;gt;Notebook blocks are theme-aware and dark-mode friendly.&amp;lt;/em&amp;gt;&amp;lt;/div&amp;gt;&amp;#34;&lt;/span&gt;&lt;span class="p"&gt;)&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;/div&gt;
&lt;div class="hb-notebook-outputs"&gt;
&lt;div class="hb-notebook-output hb-notebook-output--html"&gt;&lt;div style='font-family:Inter,ui-sans-serif;'&gt;&lt;strong&gt;Launch Readiness:&lt;/strong&gt; &lt;span style='color:#22c55e;'&gt;98.2% confidence&lt;/span&gt;&lt;br&gt;&lt;em&gt;Notebook blocks are theme-aware and dark-mode friendly.&lt;/em&gt;&lt;/div&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;/article&gt;&lt;article class="hb-notebook-cell hb-notebook-cell--code" data-cell-type="code"&gt;
&lt;header class="hb-notebook-cell-header"&gt;
&lt;span class="hb-notebook-pill"&gt;In [3]&lt;/span&gt;
&lt;div class="hb-notebook-tags"&gt;
&lt;span&gt;metrics&lt;/span&gt;
&lt;/div&gt;
&lt;/header&gt;
&lt;div class="hb-notebook-code" data-language="python"&gt;&lt;div class="highlight"&gt;&lt;div class="chroma"&gt;
&lt;table class="lntable"&gt;&lt;tr&gt;&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code&gt;&lt;span class="lnt"&gt;1
&lt;/span&gt;&lt;span class="lnt"&gt;2
&lt;/span&gt;&lt;span class="lnt"&gt;3
&lt;/span&gt;&lt;span class="lnt"&gt;4
&lt;/span&gt;&lt;span class="lnt"&gt;5
&lt;/span&gt;&lt;span class="lnt"&gt;6
&lt;/span&gt;&lt;span class="lnt"&gt;7
&lt;/span&gt;&lt;span class="lnt"&gt;8
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class="lntd"&gt;
&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-python" data-lang="python"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="n"&gt;metrics&lt;/span&gt; &lt;span class="o"&gt;=&lt;/span&gt; &lt;span class="p"&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="s1"&gt;&amp;#39;metrics&amp;#39;&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt; &lt;span class="p"&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="s1"&gt;&amp;#39;engagement_rate&amp;#39;&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt; &lt;span class="mf"&gt;0.73&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="s1"&gt;&amp;#39;read_time_minutes&amp;#39;&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt; &lt;span class="mf"&gt;4.6&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="s1"&gt;&amp;#39;subscribers&amp;#39;&lt;/span&gt;&lt;span class="p"&gt;:&lt;/span&gt; &lt;span class="mi"&gt;1280&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="n"&gt;metrics&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;/div&gt;
&lt;div class="hb-notebook-outputs"&gt;&lt;pre class="hb-notebook-output hb-notebook-output--json"&gt;&lt;code&gt;{
"metrics": {
"engagement_rate": 0.73,
"read_time_minutes": 4.6,
"subscribers": 1280
}
}&lt;/code&gt;&lt;/pre&gt;
&lt;/div&gt;
&lt;/article&gt;&lt;article class="hb-notebook-cell hb-notebook-cell--markdown" data-cell-type="markdown"&gt;
&lt;header class="hb-notebook-cell-header"&gt;
&lt;span class="hb-notebook-pill"&gt;Markdown&lt;/span&gt;
&lt;/header&gt;
&lt;div class="hb-notebook-markdown prose dark:prose-invert"&gt;
&lt;blockquote class="border-l-4 border-neutral-300 dark:border-neutral-600 pl-4 italic text-neutral-600 dark:text-neutral-400 my-6"&gt;
&lt;p&gt;Tip: Pair this block with Call-to-Action cards or the Embed shortcode to link to GitHub repos, datasets, or ARXIV preprints.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;/div&gt;
&lt;/article&gt;
&lt;/div&gt;
&lt;div class="sr-only" data-hb-component="notebook" data-hb-version="1.0" data-hb-license="MIT"&gt;
Powered by Hugo Blox Kit - https://github.com/HugoBlox/kit
&lt;/div&gt;
&lt;/div&gt;
## 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:
`{{&lt; notebook src="analysis.ipynb" &gt;}}`
3. **Customize.** You can hide code cells for non-technical audiences (`show_code=false`) or just show the output (`show_outputs=true`).
&gt; [!IMPORTANT]
&gt; 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](https://discord.gg/z8wNYzb) or check the [documentation](https://docs.hugoblox.com).
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