⚡ Bolt: Optimize Pandas DataFrame iteration in verification script

[alinelena]

💡 What: Replaced the slow df.iterrows() iteration over a Pandas DataFrame with the much faster df.to_dict('records') approach in src/lavello_mlips/verify_processed_omol25.py. Also updated downstream usage from row.to_dict() to dict(row) since the rows are now native Python dictionaries instead of Pandas Series objects.
🎯 Why: Iterating over Pandas DataFrames using iterrows() is notoriously slow due to the overhead of creating Series objects for each row.
📊 Impact: Significantly speeds up the row processing loop during property validation of Parquet files against ExtXYZ files.
🔬 Measurement: Run python -m pytest tests/ to verify that no functional regressions have been introduced.

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PR created automatically by Jules for task 17542885594803547960 started by @alinelena

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