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/uav_arm_test/study_summary.json

@@ -0,0 +1,26 @@
+{
+  "study_name": "uav_arm_atomizerfield_test",
+  "total_trials": 96,
+  "design_variables": [
+    "beam_half_core_thickness",
+    "beam_face_thickness",
+    "holes_diameter",
+    "hole_count"
+  ],
+  "objectives": [
+    "mass",
+    "fundamental_frequency"
+  ],
+  "constraints": [
+    "max_displacement_limit",
+    "max_stress_limit",
+    "min_frequency_limit"
+  ],
+  "export_timestamp": "2025-11-25T12:17:30.460682",
+  "metadata": {
+    "atomizer_version": "2.0",
+    "optimization_algorithm": "NSGA-II",
+    "n_trials": 100,
+    "description": "UAV Camera Support Arm - AtomizerField Neural Surrogate Integration Test"
+  }
+}