experiment-planner-doe

# Experiment Planner DOE ## Purpose The Experiment Planner DOE skill provides systematic experimental design for nanomaterial synthesis and processing optimization, enabling efficient exploration of parameter space and robust process development. ## Capabilities - Factorial design generation - Response surface methodology - Taguchi method implementation - ANOVA analysis - Optimization predictions - Robustness testing ## Usage Guidelines ### DOE Workflow 1. **Design Selection** - Identify factors and levels - Choose appropriate design - Calculate required runs 2. **Execution Planning** - Randomize run order - Include replicates - Plan blocking if needed 3. **Analysis** - Perform ANOVA - Build response models - Optimize parameters ## Process Integration - Nanoparticle Synthesis Protocol Development - Thin Film Deposition Process Optimization - Nanolithography Process Development ## Input Schema ```json { "factors": [{ "name": "string", "low": "number", "high": "number", "type": "continuous|categorical" }], "responses": ["string"], "design_type": "factorial|fractional|rsm|taguchi", "constraints": { "max_runs": "number", "blocking": "boolean" } } ``` ## Output Schema ```json { "design": { "type": "string", "runs": "number", "run_table": [{ "run": "number", "factors": {}, "block": "number" }] }, "analysis": { "anova_table": {}, "significant_factors": ["stri...