To effectively analyze heterogeneous samples, researchers are developing advanced methodologies that combine multiple analytical techniques. For example, spectroscopy methods such as Raman and infrared spectroscopy can be used in conjunction with electron microscopy to provide a more comprehensive understanding of the sample. Additionally, computational models and machine learning algorithms are increasingly being used to predict the behavior of heterogeneous materials.
