SeroOpt

Jupyter notebook tuorials/example guides on using Bayesian optimization for voltammetry.

Includes use of Scikit-Optimize, Ax/BoTorch packages.

SOO = single objective optimization, MOO = multi-objective optimization

AC BO = Acceleration Consortium Bayesian Optimization hackathon entries (see below).

Video tutorials:

• https://ac-bo-hackathon.github.io/projects/project-30-sero-opt/
• https://ac-bo-hackathon.github.io/projects/project-31-ask-tell-tutorial/