Researchers show how topological data analysis can be used to predict the properties of amorphous materials using machine learning, which could pave the way for more computationally efficient methods ...

Researchers uncovered how soft regions in amorphous silicon mix order and disorder, offering new insights for designing stronger amorphous materials. Persistence diagram obtained from the structure of ...

We introduce a consistent estimator for the homology (an algebraic structure representing connected components and cycles) of level sets of both density and regression functions. Our method is based ...

Researchers used topological data analysis to improve the predictions of physical properties of amorphous materials by machine-learning algorithms. This may allow for cheaper and faster calculations ...