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_val/trial_0024/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 24,
+  "timestamp": "2025-11-25T09:48:34.822099",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 5.780093202212183,
+    "beam_face_thickness": 1.9903538202225404,
+    "holes_diameter": 12.32334448672798,
+    "hole_count": 13.455922412472692
+  },
+  "results": {
+    "objectives": {
+      "mass": 3500.2031727776844,
+      "frequency": 18.0539493560791
+    },
+    "constraints": {
+      "max_displacement_limit": 0.03145892173051834,
+      "max_stress_limit": 335.6023864746094,
+      "min_frequency_limit": 18.0539493560791
+    },
+    "max_stress": 335.6023864746094,
+    "max_displacement": 0.03145892173051834,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_val/trial_0025/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 25,
+  "timestamp": "2025-11-25T09:48:49.555632",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 5.027610585618012,
+    "beam_face_thickness": 2.6309228569096685,
+    "holes_diameter": 23.235920994105967,
+    "hole_count": 12.374043008245923
+  },
+  "results": {
+    "objectives": {
+      "mass": 3157.065918232478,
+      "frequency": 20.303495407104492
+    },
+    "constraints": {
+      "max_displacement_limit": 0.02996722236275673,
+      "max_stress_limit": 279.8471374511719,
+      "min_frequency_limit": 20.303495407104492
+    },
+    "max_stress": 279.8471374511719,
+    "max_displacement": 0.02996722236275673,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_val/trial_0026/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 26,
+  "timestamp": "2025-11-25T09:49:04.756951",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 5.610191174223894,
+    "beam_face_thickness": 2.325044568707964,
+    "holes_diameter": 11.375540844608736,
+    "hole_count": 13.455922412472692
+  },
+  "results": {
+    "objectives": {
+      "mass": 3490.5270258762826,
+      "frequency": 19.02242088317871
+    },
+    "constraints": {
+      "max_displacement_limit": 0.029705610126256943,
+      "max_stress_limit": 272.34832763671875,
+      "min_frequency_limit": 19.02242088317871
+    },
+    "max_stress": 272.34832763671875,
+    "max_displacement": 0.029705610126256943,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_val/trial_0027/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 27,
+  "timestamp": "2025-11-25T09:49:17.737423",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 6.94338644844741,
+    "beam_face_thickness": 2.416145155592091,
+    "holes_diameter": 43.14950036607718,
+    "hole_count": 13.819459112971966
+  },
+  "results": {
+    "objectives": {
+      "mass": 3467.073117688134,
+      "frequency": 19.698856353759766
+    },
+    "constraints": {
+      "max_displacement_limit": 0.02662809193134308,
+      "max_stress_limit": 242.20761108398438,
+      "min_frequency_limit": 19.698856353759766
+    },
+    "max_stress": 242.20761108398438,
+    "max_displacement": 0.02662809193134308,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_val/trial_0028/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 28,
+  "timestamp": "2025-11-25T09:49:32.147159",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 5.325257964926397,
+    "beam_face_thickness": 2.8977710745066663,
+    "holes_diameter": 48.625281322982374,
+    "hole_count": 13.455922412472692
+  },
+  "results": {
+    "objectives": {
+      "mass": 2808.5628180340964,
+      "frequency": 21.92365074157715
+    },
+    "constraints": {
+      "max_displacement_limit": 0.028996456414461136,
+      "max_stress_limit": 267.6662902832031,
+      "min_frequency_limit": 21.92365074157715
+    },
+    "max_stress": 267.6662902832031,
+    "max_displacement": 0.028996456414461136,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_val/trial_0029/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 29,
+  "timestamp": "2025-11-25T09:49:44.847341",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 7.28034992108518,
+    "beam_face_thickness": 1.369708911051054,
+    "holes_diameter": 17.98695128633439,
+    "hole_count": 11.08540663048167
+  },
+  "results": {
+    "objectives": {
+      "mass": 4100.263854850898,
+      "frequency": 16.594745635986328
+    },
+    "constraints": {
+      "max_displacement_limit": 0.03413144871592522,
+      "max_stress_limit": 696.27685546875,
+      "min_frequency_limit": 16.594745635986328
+    },
+    "max_stress": 696.27685546875,
+    "max_displacement": 0.03413144871592522,
+    "feasible": false
+  }
+}