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>
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launch_dashboard.bat
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42
launch_dashboard.bat
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@echo off
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REM Atomizer Dashboard Launcher
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REM Starts both backend and frontend, then opens browser
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echo ============================================
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echo ATOMIZER DASHBOARD LAUNCHER
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echo ============================================
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echo.
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REM Set paths
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set ATOMIZER_ROOT=%~dp0
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set BACKEND_DIR=%ATOMIZER_ROOT%atomizer-dashboard\backend
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set FRONTEND_DIR=%ATOMIZER_ROOT%atomizer-dashboard\frontend
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set CONDA_ENV=atomizer
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echo Starting Backend API (port 8000)...
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start "Atomizer Backend" cmd /k "cd /d %BACKEND_DIR% && conda activate %CONDA_ENV% && python -m uvicorn api.main:app --host 0.0.0.0 --port 8000 --reload"
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echo Starting Frontend (port 3003)...
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start "Atomizer Frontend" cmd /k "cd /d %FRONTEND_DIR% && npm run dev"
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echo.
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echo Waiting for services to start...
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timeout /t 5 /nobreak > nul
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echo.
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echo ============================================
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echo DASHBOARD READY
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echo ============================================
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echo.
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echo Frontend: http://localhost:3003
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echo Backend: http://localhost:8000
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echo API Docs: http://localhost:8000/docs
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echo.
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echo ============================================
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REM Open browser
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start http://localhost:3003
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echo.
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echo Press any key to close this window (servers will keep running)...
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pause > nul
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