Atinary

Attach numerical descriptors to categorical variables so the optimizer knows how similar your options are.

Category Properties: Helping the Optimizer Understand Your Categories

Quick checklist of recommendations for parameter spaces, batch size, objectives, constraints, and expert context.

Experiment Design Best Practices

How many parameters, descriptors, step sizes, cartesian products, and homogeneous vs mixed spaces.

Designing Your Parameter Space

When to use Weighted Sum, Hierarchy, or Pareto. Why derived quantities should be measurements or constraints, not extra objectives.

Choosing Objectives & Measurements

Batch size formula, initial design phase, batch-constrained parameters, and expert context tips.

Parallelization & Practical Settings

Use Case: Security Ink Formulation for Banknote Printing

AI-DoE for Chemists: An Optimization Guide

Advanced articles to help you setup your experiments.

Optimization Playbook 

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