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>
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templates/beam_stiffness_optimization.json
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112
templates/beam_stiffness_optimization.json
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{
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"study_name": "beam_stiffness_optimization",
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"description": "Beam Stiffness Optimization - Maximize stiffness while minimizing mass",
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"engineering_context": "Cantilever beam optimization. Find optimal cross-section dimensions to maximize bending stiffness under tip load while minimizing weight.",
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"template_info": {
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"category": "structural",
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"analysis_type": "static",
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"typical_applications": ["cantilever beams", "support arms", "brackets"],
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"required_nx_expressions": ["beam_width", "beam_height", "beam_length"]
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},
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"optimization_settings": {
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"protocol": "protocol_10_single_objective",
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"n_trials": 50,
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"sampler": "TPE",
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"pruner": "MedianPruner",
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"timeout_per_trial": 300
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},
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"design_variables": [
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{
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"parameter": "beam_width",
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"bounds": [10, 50],
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"description": "Beam cross-section width (mm)",
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"units": "mm"
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},
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{
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"parameter": "beam_height",
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"bounds": [10, 80],
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"description": "Beam cross-section height (mm)",
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"units": "mm"
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},
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{
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"parameter": "beam_length",
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"bounds": [100, 500],
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"description": "Beam length (mm)",
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"units": "mm"
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}
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],
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"objectives": [
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{
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"name": "stiffness",
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"goal": "maximize",
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"weight": 1.0,
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"description": "Effective bending stiffness (inverse of tip displacement under unit load)",
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"target": 10000,
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"extraction": {
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"action": "extract_displacement",
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"domain": "result_extraction",
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"params": {
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"result_type": "displacement",
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"metric": "max",
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"invert": true
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}
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}
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}
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],
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"constraints": [
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{
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"name": "max_mass_limit",
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"type": "less_than",
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"threshold": 500,
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"description": "Maximum mass < 500g",
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"extraction": {
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"action": "extract_mass",
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"domain": "result_extraction",
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"params": {
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"result_type": "mass",
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"metric": "total"
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}
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}
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},
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{
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"name": "max_stress_limit",
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"type": "less_than",
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"threshold": 200,
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"description": "Maximum von Mises stress < 200 MPa",
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"extraction": {
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"action": "extract_stress",
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"domain": "result_extraction",
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"params": {
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"result_type": "stress",
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"metric": "max_von_mises"
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}
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}
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}
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],
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"simulation": {
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"model_file": "Beam.prt",
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"sim_file": "Beam_sim1.sim",
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"fem_file": "Beam_fem1.fem",
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"solver": "nastran",
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"analysis_types": ["static"]
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},
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"reporting": {
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"generate_plots": true,
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"save_incremental": true,
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"llm_summary": false
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},
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"training_data_export": {
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"enabled": true,
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"export_dir": "atomizer_field_training_data/${study_name}",
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"export_every_n_trials": 1,
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"include_mesh": true,
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"compress": false
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}
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}
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