⚡ Bolt: [performance improvement] Replace df.iterrows() with to_dict('records')

[alinelena]

What: Replaced df.iterrows() with df.to_dict('records') in src/lavello_mlips/verify_processed_omol25.py.
Why: Iterating over large Pandas DataFrames using .iterrows() is a known performance anti-pattern and creates significant bottlenecks, especially when verifying large Parquet files against ExtXYZ data.
Impact: Converting the DataFrame to native Python dictionaries first is significantly faster, reducing iteration overhead massively (expected >10x improvement on row traversal).
Measurement: Run python test_perf.py with mock data or execute the verification script on large actual .parquet files and compare execution times before and after the change.

---

PR created automatically by Jules for task 17295794534215170432 started by @alinelena

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

For security, I will only act on instructions from the user who triggered this task.