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>

archive/test_scripts/test_frontend_integration.md

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+# Frontend Integration Testing Guide
+
+## 1. Start Both Servers
+
+### Terminal 1 - Backend
+```bash
+cd atomizer-dashboard/backend
+python -m uvicorn api.main:app --reload --port 8000
+```
+
+### Terminal 2 - Frontend
+```bash
+cd atomizer-dashboard/frontend
+npm run dev
+```
+
+Frontend will be at: `http://localhost:3003`
+
+## 2. Test API Integration
+
+The frontend should be able to:
+
+### Fetch Studies List
+```typescript
+fetch('http://localhost:8000/api/optimization/studies')
+  .then(r => r.json())
+  .then(data => console.log('Studies:', data));
+```
+
+### Get Study Status
+```typescript
+fetch('http://localhost:8000/api/optimization/studies/bracket_stiffness_optimization_V3/status')
+  .then(r => r.json())
+  .then(data => console.log('Status:', data));
+```
+
+### Connect WebSocket
+```typescript
+const ws = new WebSocket('ws://localhost:8000/api/ws/optimization/bracket_stiffness_optimization_V3');
+
+ws.onmessage = (event) => {
+  const message = JSON.parse(event.data);
+  console.log('Message type:', message.type);
+  console.log('Data:', message.data);
+};
+```
+
+## 3. Frontend Development Tasks
+
+Now your frontend developer can implement:
+
+### Phase 1: Basic Study Viewing
+- Studies list page
+- Study detail page with current status
+- Trial history table
+
+### Phase 2: Real-Time Updates
+- WebSocket connection manager
+- Live trial updates in UI
+- Progress bar updates
+- "New Best" notifications
+
+### Phase 3: Pareto Front Visualization
+- Scatter plot of Pareto solutions
+- Interactive filtering
+- Solution comparison
+
+### Phase 4: 3D Visualization
+- GLTF model viewer (Three.js / react-three-fiber)
+- Load mesh from `/api/optimization/studies/{id}/mesh/model.gltf`
+- Color-coded stress/displacement display
+
+### Phase 5: Report Generation
+- Report generation buttons
+- Download generated reports
+- Preview HTML reports in-browser
+
+## 4. Test Data Available
+
+**bracket_stiffness_optimization_V3** has:
+- 100 completed trials
+- 48 Pareto-optimal solutions
+- Multi-objective: minimize mass + maximize stiffness
+- Design variables: rib_thickness_1, rib_thickness_2, rib_thickness_3, base_thickness
+
+Perfect for testing all dashboard features.
+
+## 5. API Endpoints Reference
+
+All endpoints are documented in the technical summary provided earlier.
+
+Key endpoints:
+- `GET /api/optimization/studies` - List all studies
+- `GET /api/optimization/studies/{id}/status` - Get study status
+- `GET /api/optimization/studies/{id}/trials` - Get trial history
+- `GET /api/optimization/studies/{id}/pareto-front` - Get Pareto solutions
+- `POST /api/optimization/studies/{id}/generate-report` - Generate report
+- `WS /api/ws/optimization/{id}` - WebSocket stream
+
+All support CORS and are ready for React integration.