feat: Add Protocol 13 adaptive optimization, Plotly charts, and dashboard improvements

## Protocol 13: Adaptive Multi-Objective Optimization
- Iterative FEA + Neural Network surrogate workflow
- Initial FEA sampling, NN training, NN-accelerated search
- FEA validation of top NN predictions, retraining loop
- adaptive_state.json tracks iteration history and best values
- M1 mirror study (V11) with 103 FEA, 3000 NN trials

## Dashboard Visualization Enhancements
- Added Plotly.js interactive charts (parallel coords, Pareto, convergence)
- Lazy loading with React.lazy() for performance
- Code splitting: plotly.js-basic-dist (~1MB vs 3.5MB)
- Chart library toggle (Recharts default, Plotly on-demand)
- ExpandableChart component for full-screen modal views
- ConsoleOutput component for real-time log viewing

## Documentation
- Protocol 13 detailed documentation
- Dashboard visualization guide
- Plotly components README
- Updated run-optimization skill with Mode 5 (adaptive)

## Bug Fixes
- Fixed TypeScript errors in dashboard components
- Fixed Card component to accept ReactNode title
- Removed unused imports across components

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

atomizer-dashboard/frontend/src/api/client.ts

@@ -1,4 +1,4 @@
-import { Study, StudyListResponse, HistoryResponse, PruningResponse, StudyStatus } from '../types';
+import { StudyListResponse, HistoryResponse, PruningResponse, StudyStatus } from '../types';
 
 const API_BASE = '/api';
 
@@ -43,6 +43,19 @@ class ApiClient {
     return response.json();
   }
 
+  async getConsoleOutput(studyId: string, lines: number = 200): Promise<{
+    lines: string[];
+    total_lines: number;
+    displayed_lines: number;
+    log_file: string | null;
+    timestamp: string;
+    message?: string;
+  }> {
+    const response = await fetch(`${API_BASE}/optimization/studies/${studyId}/console?lines=${lines}`);
+    if (!response.ok) throw new Error('Failed to fetch console output');
+    return response.json();
+  }
+
   // Future endpoints for control
   async startOptimization(studyId: string): Promise<void> {
     const response = await fetch(`${API_BASE}/optimization/studies/${studyId}/start`, { method: 'POST' });