Bayesian Global Optimization

As described in this chapter of An Introduction to Materials Informatics (I): The Elements of Machine Learning, materials informatics employs the adaptive active learning, in which one material property (or multiple material properties) is called the output, target, objective, or response and the input feature variables are material composition, processing, testing conditions, or/and service environments, etc.