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/README.md

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+# AtomizerField Training Data
+
+**Study Name**: uav_arm_atomizerfield_test
+**Generated**: 2025-11-25 12:01:15
+
+## Directory Structure
+
+```
+uav_arm_test/
+├── trial_0001/
+│   ├── input/
+│   │   └── model.bdf      # NX Nastran input deck (BDF format)
+│   ├── output/
+│   │   └── model.op2      # NX Nastran binary results (OP2 format)
+│   └── metadata.json      # Design parameters, objectives, constraints
+├── trial_0002/
+│   └── ...
+├── study_summary.json     # Overall study metadata
+└── README.md              # This file
+```
+
+## 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
+
+## Usage with AtomizerField
+
+### 1. Parse Training Data
+
+```bash
+cd Atomizer-Field
+python batch_parser.py --data-dir "C:\Users\antoi\Documents\Atomaste\Atomizer\atomizer_field_training_data\uav_arm_test"
+```
+
+This converts BDF/OP2 files to PyTorch Geometric format.
+
+### 2. Validate Parsed Data
+
+```bash
+python validate_parsed_data.py
+```
+
+### 3. Train Neural Network
+
+```bash
+python train.py --data-dir "training_data/parsed/" --epochs 200
+```
+
+### 4. Use Trained Model in Atomizer
+
+```bash
+cd ../Atomizer
+python run_optimization.py --config studies/uav_arm_atomizerfield_test/workflow_config.json --use-neural
+```
+
+## File Formats
+
+- **BDF (.bdf)**: Nastran Bulk Data File - contains mesh, materials, loads, BCs
+- **OP2 (.op2)**: Nastran Output2 - binary results with displacements, stresses, etc.
+- **metadata.json**: Human-readable trial metadata
+
+## AtomizerField Documentation
+
+See `Atomizer-Field/docs/` for complete documentation on:
+- Neural network architecture
+- Training procedures
+- Integration with Atomizer
+- Uncertainty quantification
+
+---
+
+*Generated by Atomizer Training Data Exporter*

atomizer_field_training_data/uav_arm_test/batch_processing_summary.json

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+{
+  "batch_info": {
+    "root_directory": "C:\\Users\\antoi\\Documents\\Atomaste\\Atomizer\\atomizer_field_training_data\\uav_arm_test",
+    "timestamp": "2025-11-25T10:09:43.542262",
+    "total_cases": 30,
+    "successful_cases": 30,
+    "failed_cases": 0,
+    "validation_enabled": true
+  },
+  "cases": [
+    {
+      "case": "trial_0000",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:37.094822",
+      "nodes": 386,
+      "elements": 318,
+      "max_displacement": 0.024460498243570328,
+      "validated": true
+    },
+    {
+      "case": "trial_0001",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:37.460478",
+      "nodes": 561,
+      "elements": 510,
+      "max_displacement": 0.040556859225034714,
+      "validated": true
+    },
+    {
+      "case": "trial_0002",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:37.692805",
+      "nodes": 498,
+      "elements": 446,
+      "max_displacement": 0.0235770083963871,
+      "validated": true
+    },
+    {
+      "case": "trial_0003",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:37.914672",
+      "nodes": 378,
+      "elements": 331,
+      "max_displacement": 0.028571313247084618,
+      "validated": true
+    },
+    {
+      "case": "trial_0004",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:38.143290",
+      "nodes": 388,
+      "elements": 335,
+      "max_displacement": 0.02891721948981285,
+      "validated": true
+    },
+    {
+      "case": "trial_0005",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:38.357861",
+      "nodes": 393,
+      "elements": 345,
+      "max_displacement": 0.03388679027557373,
+      "validated": true
+    },
+    {
+      "case": "trial_0006",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:38.561272",
+      "nodes": 439,
+      "elements": 390,
+      "max_displacement": 0.024444641545414925,
+      "validated": true
+    },
+    {
+      "case": "trial_0007",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:38.761727",
+      "nodes": 292,
+      "elements": 236,
+      "max_displacement": 0.04027493670582771,
+      "validated": true
+    },
+    {
+      "case": "trial_0008",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:38.949870",
+      "nodes": 382,
+      "elements": 299,
+      "max_displacement": 0.028996456414461136,
+      "validated": true
+    },
+    {
+      "case": "trial_0009",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:39.161455",
+      "nodes": 383,
+      "elements": 318,
+      "max_displacement": 0.04109802842140198,
+      "validated": true
+    },
+    {
+      "case": "trial_0010",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:39.361661",
+      "nodes": 570,
+      "elements": 520,
+      "max_displacement": 0.03199426457285881,
+      "validated": true
+    },
+    {
+      "case": "trial_0011",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:39.611481",
+      "nodes": 385,
+      "elements": 336,
+      "max_displacement": 0.027771631255745888,
+      "validated": true
+    },
+    {
+      "case": "trial_0012",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:39.810136",
+      "nodes": 379,
+      "elements": 296,
+      "max_displacement": 0.03416329249739647,
+      "validated": true
+    },
+    {
+      "case": "trial_0013",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:39.995548",
+      "nodes": 341,
+      "elements": 275,
+      "max_displacement": 0.019860349595546722,
+      "validated": true
+    },
+    {
+      "case": "trial_0014",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:40.195292",
+      "nodes": 503,
+      "elements": 455,
+      "max_displacement": 0.040323346853256226,
+      "validated": true
+    },
+    {
+      "case": "trial_0015",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:40.395471",
+      "nodes": 362,
+      "elements": 294,
+      "max_displacement": 0.03300582244992256,
+      "validated": true
+    },
+    {
+      "case": "trial_0016",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:40.593517",
+      "nodes": 446,
+      "elements": 395,
+      "max_displacement": 0.028918668627738953,
+      "validated": true
+    },
+    {
+      "case": "trial_0017",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:40.795197",
+      "nodes": 387,
+      "elements": 322,
+      "max_displacement": 0.027775324881076813,
+      "validated": true
+    },
+    {
+      "case": "trial_0018",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:40.995891",
+      "nodes": 389,
+      "elements": 321,
+      "max_displacement": 0.030427929013967514,
+      "validated": true
+    },
+    {
+      "case": "trial_0019",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:41.199060",
+      "nodes": 398,
+      "elements": 347,
+      "max_displacement": 0.03594466671347618,
+      "validated": true
+    },
+    {
+      "case": "trial_0020",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:41.400124",
+      "nodes": 447,
+      "elements": 396,
+      "max_displacement": 0.024386651813983917,
+      "validated": true
+    },
+    {
+      "case": "trial_0021",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:41.612526",
+      "nodes": 561,
+      "elements": 510,
+      "max_displacement": 0.040556859225034714,
+      "validated": true
+    },
+    {
+      "case": "trial_0022",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:41.835785",
+      "nodes": 396,
+      "elements": 325,
+      "max_displacement": 0.036786045879125595,
+      "validated": true
+    },
+    {
+      "case": "trial_0023",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:42.017888",
+      "nodes": 384,
+      "elements": 297,
+      "max_displacement": 0.02076462097465992,
+      "validated": true
+    },
+    {
+      "case": "trial_0024",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:42.229479",
+      "nodes": 546,
+      "elements": 495,
+      "max_displacement": 0.03145892173051834,
+      "validated": true
+    },
+    {
+      "case": "trial_0025",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:42.487999",
+      "nodes": 395,
+      "elements": 346,
+      "max_displacement": 0.02996722236275673,
+      "validated": true
+    },
+    {
+      "case": "trial_0026",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:42.701958",
+      "nodes": 549,
+      "elements": 498,
+      "max_displacement": 0.029705610126256943,
+      "validated": true
+    },
+    {
+      "case": "trial_0027",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:42.918380",
+      "nodes": 384,
+      "elements": 304,
+      "max_displacement": 0.02662809193134308,
+      "validated": true
+    },
+    {
+      "case": "trial_0028",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:43.119753",
+      "nodes": 382,
+      "elements": 299,
+      "max_displacement": 0.028996456414461136,
+      "validated": true
+    },
+    {
+      "case": "trial_0029",
+      "status": "success",
+      "timestamp": "2025-11-25T10:09:43.319956",
+      "nodes": 411,
+      "elements": 363,
+      "max_displacement": 0.03413144871592522,
+      "validated": true
+    }
+  ]
+}

atomizer_field_training_data/uav_arm_test/study_summary.json

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+{
+  "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"
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0000/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 0,
+  "timestamp": "2025-11-25T09:42:56.400049",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 6.872700594236813,
+    "beam_face_thickness": 2.9014286128198323,
+    "holes_diameter": 39.2797576724562,
+    "hole_count": 11.59195090518222
+  },
+  "results": {
+    "objectives": {
+      "mass": 3754.8484534555446,
+      "frequency": 20.51445960998535
+    },
+    "constraints": {
+      "max_displacement_limit": 0.024460498243570328,
+      "max_stress_limit": 228.33424377441406,
+      "min_frequency_limit": 20.51445960998535
+    },
+    "max_stress": 228.33424377441406,
+    "max_displacement": 0.024460498243570328,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0001/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 1,
+  "timestamp": "2025-11-25T09:43:11.087105",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 5.780093202212183,
+    "beam_face_thickness": 1.3119890406724053,
+    "holes_diameter": 12.32334448672798,
+    "hole_count": 13.197056874649611
+  },
+  "results": {
+    "objectives": {
+      "mass": 3358.8179313839833,
+      "frequency": 15.898102760314941
+    },
+    "constraints": {
+      "max_displacement_limit": 0.040556859225034714,
+      "max_stress_limit": 759.5623779296875,
+      "min_frequency_limit": 15.898102760314941
+    },
+    "max_stress": 759.5623779296875,
+    "max_displacement": 0.040556859225034714,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0002/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 2,
+  "timestamp": "2025-11-25T09:43:23.336309",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 8.005575058716044,
+    "beam_face_thickness": 2.416145155592091,
+    "holes_diameter": 10.823379771832098,
+    "hole_count": 13.819459112971966
+  },
+  "results": {
+    "objectives": {
+      "mass": 4729.977446942276,
+      "frequency": 19.287874221801758
+    },
+    "constraints": {
+      "max_displacement_limit": 0.0235770083963871,
+      "max_stress_limit": 228.7364959716797,
+      "min_frequency_limit": 19.287874221801758
+    },
+    "max_stress": 228.7364959716797,
+    "max_displacement": 0.0235770083963871,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/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
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0004/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 4,
+  "timestamp": "2025-11-25T09:43:52.727832",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 6.521211214797688,
+    "beam_face_thickness": 2.049512863264476,
+    "holes_diameter": 27.27780074568463,
+    "hole_count": 9.747374841188252
+  },
+  "results": {
+    "objectives": {
+      "mass": 3739.8588536156817,
+      "frequency": 18.240983963012695
+    },
+    "constraints": {
+      "max_displacement_limit": 0.02891721948981285,
+      "max_stress_limit": 316.30963134765625,
+      "min_frequency_limit": 18.240983963012695
+    },
+    "max_stress": 316.30963134765625,
+    "max_displacement": 0.02891721948981285,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0005/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 5,
+  "timestamp": "2025-11-25T09:44:06.676443",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 8.059264473611897,
+    "beam_face_thickness": 1.2789877213040837,
+    "holes_diameter": 21.685785941408724,
+    "hole_count": 10.19817105976215
+  },
+  "results": {
+    "objectives": {
+      "mass": 4443.2931865156825,
+      "frequency": 16.876663208007812
+    },
+    "constraints": {
+      "max_displacement_limit": 0.03388679027557373,
+      "max_stress_limit": 795.2747802734375,
+      "min_frequency_limit": 16.876663208007812
+    },
+    "max_stress": 795.2747802734375,
+    "max_displacement": 0.03388679027557373,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0006/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 6,
+  "timestamp": "2025-11-25T09:44:21.580975",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 7.28034992108518,
+    "beam_face_thickness": 2.570351922786027,
+    "holes_diameter": 17.98695128633439,
+    "hole_count": 11.08540663048167
+  },
+  "results": {
+    "objectives": {
+      "mass": 4330.969673315037,
+      "frequency": 19.42190933227539
+    },
+    "constraints": {
+      "max_displacement_limit": 0.024444641545414925,
+      "max_stress_limit": 228.28634643554688,
+      "min_frequency_limit": 19.42190933227539
+    },
+    "max_stress": 228.28634643554688,
+    "max_displacement": 0.024444641545414925,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0007/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 7,
+  "timestamp": "2025-11-25T09:44:36.574373",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 7.962072844310212,
+    "beam_face_thickness": 1.0929008254399954,
+    "holes_diameter": 34.30179407605753,
+    "hole_count": 9.02314474212375
+  },
+  "results": {
+    "objectives": {
+      "mass": 4159.912121589758,
+      "frequency": 16.2733097076416
+    },
+    "constraints": {
+      "max_displacement_limit": 0.04027493670582771,
+      "max_stress_limit": 1083.8499755859375,
+      "min_frequency_limit": 16.2733097076416
+    },
+    "max_stress": 1083.8499755859375,
+    "max_displacement": 0.04027493670582771,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0008/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 8,
+  "timestamp": "2025-11-25T09:44:49.228993",
+  "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": 12.850384088698767
+  },
+  "results": {
+    "objectives": {
+      "mass": 2808.5628180340927,
+      "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_test/trial_0009/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 9,
+  "timestamp": "2025-11-25T09:45:03.974254",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 6.523068845866853,
+    "beam_face_thickness": 1.1953442280127677,
+    "holes_diameter": 37.36932106048627,
+    "hole_count": 10.640914962437607
+  },
+  "results": {
+    "objectives": {
+      "mass": 3349.6099072172533,
+      "frequency": 15.831931114196777
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+    "constraints": {
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+    },
+    "max_stress": 910.6671142578125,
+    "max_displacement": 0.04109802842140198,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0010/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 10,
+  "timestamp": "2025-11-25T09:45:20.686744",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
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+    "beam_face_thickness": 1.9903538202225404,
+    "holes_diameter": 11.375540844608736,
+    "hole_count": 13.455922412472692
+  },
+  "results": {
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+      "frequency": 18.09408187866211
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+    "constraints": {
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+      "min_frequency_limit": 18.09408187866211
+    },
+    "max_stress": 335.70428466796875,
+    "max_displacement": 0.03199426457285881,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0011/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 11,
+  "timestamp": "2025-11-25T09:45:34.912859",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
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+    "beam_face_thickness": 2.325044568707964,
+    "holes_diameter": 22.46844304357644,
+    "hole_count": 11.120408127066865
+  },
+  "results": {
+    "objectives": {
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+      "frequency": 18.908977508544922
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+    "constraints": {
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+      "min_frequency_limit": 18.908977508544922
+    },
+    "max_stress": 255.481689453125,
+    "max_displacement": 0.027771631255745888,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0012/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 12,
+  "timestamp": "2025-11-25T09:45:47.309128",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
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+    "beam_face_thickness": 1.369708911051054,
+    "holes_diameter": 48.783385110582344,
+    "hole_count": 12.650796940166687
+  },
+  "results": {
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+    "constraints": {
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+      "min_frequency_limit": 17.11578941345215
+    },
+    "max_stress": 695.014404296875,
+    "max_displacement": 0.03416329249739647,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/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": {
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+    "beam_face_thickness": 2.789654700855298,
+    "holes_diameter": 33.915999152443405,
+    "hole_count": 13.531245410138702
+  },
+  "results": {
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+      "frequency": 20.83148956298828
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+    "constraints": {
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+      "max_stress_limit": 185.02517700195312,
+      "min_frequency_limit": 20.83148956298828
+    },
+    "max_stress": 185.02517700195312,
+    "max_displacement": 0.019860349595546722,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0014/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 14,
+  "timestamp": "2025-11-25T09:46:14.313512",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
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+    "beam_face_thickness": 1.3919657248382904,
+    "holes_diameter": 11.809091556421523,
+    "hole_count": 9.951981984579586
+  },
+  "results": {
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+      "frequency": 16.185922622680664
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+    "constraints": {
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+      "min_frequency_limit": 16.185922622680664
+    },
+    "max_stress": 676.9888916015625,
+    "max_displacement": 0.040323346853256226,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0015/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 15,
+  "timestamp": "2025-11-25T09:46:28.087150",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
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+    "beam_face_thickness": 1.5426980635477918,
+    "holes_diameter": 43.14950036607718,
+    "hole_count": 10.140519960161535
+  },
+  "results": {
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+      "frequency": 17.112903594970703
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+    "constraints": {
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+      "max_stress_limit": 551.2527465820312,
+      "min_frequency_limit": 17.112903594970703
+    },
+    "max_stress": 551.2527465820312,
+    "max_displacement": 0.03300582244992256,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0016/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 16,
+  "timestamp": "2025-11-25T09:46:42.045816",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
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+    "beam_face_thickness": 2.085392166316497,
+    "holes_diameter": 15.636968998990506,
+    "hole_count": 12.813181884524237
+  },
+  "results": {
+    "objectives": {
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+      "frequency": 18.254257202148438
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+    "constraints": {
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+      "min_frequency_limit": 18.254257202148438
+    },
+    "max_stress": 305.9248352050781,
+    "max_displacement": 0.028918668627738953,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0017/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 17,
+  "timestamp": "2025-11-25T09:46:54.303817",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
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+    "beam_face_thickness": 2.9737738732010346,
+    "holes_diameter": 40.889790771866295,
+    "hole_count": 9.192294089205035
+  },
+  "results": {
+    "objectives": {
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+      "frequency": 21.298219680786133
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+    "constraints": {
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+      "max_stress_limit": 266.37664794921875,
+      "min_frequency_limit": 21.298219680786133
+    },
+    "max_stress": 266.37664794921875,
+    "max_displacement": 0.027775324881076813,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0018/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 18,
+  "timestamp": "2025-11-25T09:47:07.751272",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
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+    "beam_face_thickness": 2.6309228569096685,
+    "holes_diameter": 38.274293753904686,
+    "hole_count": 12.374043008245923
+  },
+  "results": {
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+      "frequency": 20.805625915527344
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+    "constraints": {
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+      "min_frequency_limit": 20.805625915527344
+    },
+    "max_stress": 284.5617980957031,
+    "max_displacement": 0.030427929013967514,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0019/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 19,
+  "timestamp": "2025-11-25T09:47:23.704027",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
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+    "beam_face_thickness": 1.1480893034681807,
+    "holes_diameter": 24.338629141770905,
+    "hole_count": 8.695214357150778
+  },
+  "results": {
+    "objectives": {
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+      "frequency": 17.269065856933594
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+    "constraints": {
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+      "min_frequency_limit": 17.269065856933594
+    },
+    "max_stress": 982.6076049804688,
+    "max_displacement": 0.03594466671347618,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0020/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 20,
+  "timestamp": "2025-11-25T09:47:37.919506",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
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+    "beam_face_thickness": 2.570351922786027,
+    "holes_diameter": 17.98695128633439,
+    "hole_count": 13.178620555253561
+  },
+  "results": {
+    "objectives": {
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+      "frequency": 19.431882858276367
+    },
+    "constraints": {
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+      "max_stress_limit": 227.0664825439453,
+      "min_frequency_limit": 19.431882858276367
+    },
+    "max_stress": 227.0664825439453,
+    "max_displacement": 0.024386651813983917,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0021/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 21,
+  "timestamp": "2025-11-25T09:47:51.531307",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
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+    "beam_face_thickness": 1.3119890406724053,
+    "holes_diameter": 12.32334448672798,
+    "hole_count": 13.197056874649611
+  },
+  "results": {
+    "objectives": {
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+      "frequency": 15.898102760314941
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+    "constraints": {
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+      "max_stress_limit": 759.5623779296875,
+      "min_frequency_limit": 15.898102760314941
+    },
+    "max_stress": 759.5623779296875,
+    "max_displacement": 0.040556859225034714,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0022/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 22,
+  "timestamp": "2025-11-25T09:48:07.507310",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 8.11649063413779,
+    "beam_face_thickness": 1.1953442280127677,
+    "holes_diameter": 43.14950036607718,
+    "hole_count": 10.640914962437607
+  },
+  "results": {
+    "objectives": {
+      "mass": 3911.726848195828,
+      "frequency": 16.64651870727539
+    },
+    "constraints": {
+      "max_displacement_limit": 0.036786045879125595,
+      "max_stress_limit": 908.2288208007812,
+      "min_frequency_limit": 16.64651870727539
+    },
+    "max_stress": 908.2288208007812,
+    "max_displacement": 0.036786045879125595,
+    "feasible": false
+  }
+}

atomizer_field_training_data/uav_arm_test/trial_0023/metadata.json

@@ -0,0 +1,25 @@
+{
+  "trial_number": 23,
+  "timestamp": "2025-11-25T09:48:21.853138",
+  "atomizer_study": "uav_arm_atomizerfield_test",
+  "design_parameters": {
+    "beam_half_core_thickness": 9.697494707820946,
+    "beam_face_thickness": 2.789654700855298,
+    "holes_diameter": 48.625281322982374,
+    "hole_count": 13.531245410138702
+  },
+  "results": {
+    "objectives": {
+      "mass": 4353.920868226083,
+      "frequency": 21.20096778869629
+    },
+    "constraints": {
+      "max_displacement_limit": 0.02076462097465992,
+      "max_stress_limit": 188.76913452148438,
+      "min_frequency_limit": 21.20096778869629
+    },
+    "max_stress": 188.76913452148438,
+    "max_displacement": 0.02076462097465992,
+    "feasible": false
+  }
+}