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Bayesian Optimization DoE Python Examples

Why Blocking Matters

We've talked about blocking as one of the three fundamental principles of DoE before. In theory, it makes sense: group your experiments by known sources of variability to keep them fro

Understanding Systematic and Random Errors

In Design of Experiments (DoE), we structure our experiments to extract maximum information from minimal trials. However, without proper error management, even the most sophisticated e

How to create a Box-Behnken Design in Python

This guide walks you through creating Box-Behnken designs using Python's pyDOE3 package. I won't dive deep into the theory—if you need background on response surface methodology or why Box-Behnken d

Testing Bayesian Optimization for Lab Experiments

Bayesian Optimization promises to make experimental design smarter and more efficient by iteratively selecting the most promising experiments based on previous results. But how do we know if it's actu

Understanding Bayesian Optimization

Science is about solving problems through experiments. In chemistry, this might mean maximizing the yield of a reaction or improving the hardness of a coating. Traditional methods like full factorial

Central Composite Design vs. Box-Behnken Design

Response surface designs help you capture curvature in your experiments—something that traditional factorial designs can't do on their own. We've already explored how [central composite designs](/blog

A full factorial design in Python from beginning to end

Commercial DoE and statistical software are incredibly powerful, but they also come with a hefty price tag. In addition, such software can be pretty daunting because of their many features of which yo

Create a Central Composite Design in Python

I have shown you an example of a central composite design in the previous blog post: A step by step example of a Central Composite Design (CCD). In this post I am going to show you how you

A step by step example of a Central Composite Design (CCD)

If your full or fractional factorial pointed you in the right direction but you still can’t answer “where is the optimum?”, it’s time for a Central Composite Design (CCD). In this post, I’ll build dir

How to Perform ANOVA with Python

Important: This blog post shows you how to perform ANOVA and check its assumptions using Python. If you're looking for a general introduction, check out the related blog posts linked below.In