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>

atomizer_field_training_data/bracket_stiffness_optimization_atomizerfield/README.md

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+# AtomizerField Training Data
+
+**Study Name**: bracket_stiffness_optimization_atomizerfield
+**Generated**: 2025-11-26 10:39:27
+
+## Directory Structure
+
+```
+bracket_stiffness_optimization_atomizerfield/
+├── trial_0001/
+│   ├── input/
+│   │   └── model.bdf      # NX Nastran input deck (BDF format)
+│   ├── output/
+│   │   └── model.op2      # NX Nastran binary results (OP2 format)
+│   └── metadata.json      # Design parameters, objectives, constraints
+├── trial_0002/
+│   └── ...
+├── study_summary.json     # Overall study metadata
+└── README.md              # This file
+```
+
+## Design Variables
+
+- support_angle
+- tip_thickness
+
+## Objectives
+
+- stiffness
+- mass
+
+## Constraints
+
+- mass_limit
+
+## Usage with AtomizerField
+
+### 1. Parse Training Data
+
+```bash
+cd Atomizer-Field
+python batch_parser.py --data-dir "C:\Users\antoi\Documents\Atomaste\Atomizer\atomizer_field_training_data\bracket_stiffness_optimization_atomizerfield"
+```
+
+This converts BDF/OP2 files to PyTorch Geometric format.
+
+### 2. Validate Parsed Data
+
+```bash
+python validate_parsed_data.py
+```
+
+### 3. Train Neural Network
+
+```bash
+python train.py --data-dir "training_data/parsed/" --epochs 200
+```
+
+### 4. Use Trained Model in Atomizer
+
+```bash
+cd ../Atomizer
+python run_optimization.py --config studies/bracket_stiffness_optimization_atomizerfield/workflow_config.json --use-neural
+```
+
+## File Formats
+
+- **BDF (.bdf)**: Nastran Bulk Data File - contains mesh, materials, loads, BCs
+- **OP2 (.op2)**: Nastran Output2 - binary results with displacements, stresses, etc.
+- **metadata.json**: Human-readable trial metadata
+
+## AtomizerField Documentation
+
+See `Atomizer-Field/docs/` for complete documentation on:
+- Neural network architecture
+- Training procedures
+- Integration with Atomizer
+- Uncertainty quantification
+
+---
+
+*Generated by Atomizer Training Data Exporter*