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_train/trial_0013/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 13,
+  "timestamp": "2025-11-25T09:46:01.813357",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 9.697494707820946,
+    "beam_face_thickness": 2.789654700855298,
+    "holes_diameter": 33.915999152443405,
+    "hole_count": 13.531245410138702
+  },
+  "results": {
+    "objectives": {
+      "mass": 5055.8603368836375,
+      "frequency": 20.83148956298828
+    },
+    "constraints": {
+      "max_displacement_limit": 0.019860349595546722,
+      "max_stress_limit": 185.02517700195312,
+      "min_frequency_limit": 20.83148956298828
+    },
+    "max_stress": 185.02517700195312,
+    "max_displacement": 0.019860349595546722,
+    "feasible": false
+  }
+}