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_0003/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 3,
+  "timestamp": "2025-11-25T09:43:37.056373",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 9.162213204002109,
+    "beam_face_thickness": 1.4246782213565523,
+    "holes_diameter": 17.272998688284027,
+    "hole_count": 9.100427059120603
+  },
+  "results": {
+    "objectives": {
+      "mass": 5107.665514625097,
+      "frequency": 18.16075897216797
+    },
+    "constraints": {
+      "max_displacement_limit": 0.028571313247084618,
+      "max_stress_limit": 642.693359375,
+      "min_frequency_limit": 18.16075897216797
+    },
+    "max_stress": 642.693359375,
+    "max_displacement": 0.028571313247084618,
+    "feasible": false
+  }
+}