Featurizing a material. Most machine learning models only accept inputs of fixed shape. Therefore, structures (which generally have varying numbers of atoms) need to be converted into fixed-sized arrays. However, since for some of these strategies, there are no reusable open-source implementations, or existing ones are hard to combine, researchers seldom explore different featurization approaches.