feat: Add AtomizerField training data export and intelligent model discovery

Major additions:
- Training data export system for AtomizerField neural network training
- Bracket stiffness optimization study with 50+ training samples
- Intelligent NX model discovery (auto-detect solutions, expressions, mesh)
- Result extractors module for displacement, stress, frequency, mass
- User-generated NX journals for advanced workflows
- Archive structure for legacy scripts and test outputs
- Protocol documentation and dashboard launcher

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
2025-11-26 12:01:50 -05:00
parent a0c008a593
commit 2b3573ec42
949 changed files with 1405144 additions and 470 deletions

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[
{
"iteration": 1,
"n_training_samples": 55,
"confidence_score": 0.48,
"mass_mape": 5.199446351686856,
"freq_mape": 46.23527454811865,
"avg_selected_uncertainty": 0.3559015095233917,
"status": "LOW_CONFIDENCE"
},
{
"iteration": 2,
"n_training_samples": 60,
"confidence_score": 0.6,
"mass_mape": 5.401324621678541,
"freq_mape": 88.80499920325646,
"avg_selected_uncertainty": 0.23130142092704772,
"status": "MEDIUM_CONFIDENCE"
},
{
"iteration": 3,
"n_training_samples": 65,
"confidence_score": 0.6,
"mass_mape": 4.867728649442469,
"freq_mape": 76.78009245481465,
"avg_selected_uncertainty": 0.17344236522912979,
"status": "MEDIUM_CONFIDENCE"
}
]