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/trial_0045/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 45,
+  "timestamp": "2025-11-25T11:27:31.423045",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 5.027610585618012,
+    "beam_face_thickness": 2.6309228569096685,
+    "holes_diameter": 39.2797576724562,
+    "hole_count": 12.374043008245923
+  },
+  "results": {
+    "objectives": {
+      "mass": 2899.3807304760794,
+      "frequency": 20.847980499267578
+    },
+    "constraints": {
+      "max_displacement_limit": 0.03042258508503437,
+      "max_stress_limit": 283.5157470703125,
+      "min_frequency_limit": 20.847980499267578
+    },
+    "max_stress": 283.5157470703125,
+    "max_displacement": 0.03042258508503437,
+    "feasible": false
+  }
+}