Antoine/Atomizer
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73 Commits 3 Branches 1 Tag
2b3573ec423885787564c9db06cdc5641ebc7937
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3 Commits

Author SHA1 Message Date
Anto01
2b3573ec42 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>
 2025-11-26 12:01:50 -05:00
Anto01
a0c008a593 feat: Add neural loop automation - templates, auto-trainer, CLI 
Closes the neural training loop with automated workflow:
- atomizer.py: One-command neural workflow CLI
- auto_trainer.py: Auto-training trigger system (50pt threshold)
- template_loader.py: Study creation from templates
- study_reset.py: Study reset/cleanup utility
- 3 templates: beam stiffness, bracket stress, frequency tuning
- State assessment document (Nov 25)

Usage: python atomizer.py neural-optimize --study my_study --trials 500

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

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-26 07:53:00 -05:00
Anto01
7837255ba8 feat: Update create-study skill with Phase 1.3 logging and create UAV arm test study 
Phase 1.3.1 Complete - Logging Integration:

1. Updated .claude/skills/create-study.md:
   - Added IMPORTANT section on structured logging from Phase 1.3
   - Documents logger import and initialization
   - Lists all structured logging methods (trial_start, trial_complete, etc.)
   - References drone_gimbal_arm as template

2. Created studies/uav_arm_optimization/:
   - Multi-objective NSGA-II study (50 trials)
   - Same type as drone_gimbal_arm but renamed for UAV context
   - Full integration with Phase 1.3 logging system
   - Configuration: minimize mass + maximize frequency
   - Running to validate complete logging system

Benefits:
- All future studies created via skill will have consistent logging
- Production-ready error handling and file logging from day 1
- Color-coded console output for better monitoring
- Automatic log rotation (50MB, 3 backups)

Related: Phase 1.2 (Configuration), Phase 1.3 (Logger), Phase 1.3.1 (Integration)

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

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-24 10:18:20 -05:00