Improving Descriptors and Understandings in Material Sciences Using Topological Data Analysis

Explore how Topological Data Analysis (TDA) can enhance descriptors and deepen understanding in Material Sciences through this 22-minute conference talk presented at the 51st Conference on Applications of Mathematics. Learn from Jan Felix Senge of the University of Bremen and the Institute of Mathematics of the Polish Academy of Sciences as he discusses innovative approaches to analyzing complex materials data using topological methods. Gain insights into how TDA can be applied to improve material characterization, uncover hidden patterns, and advance research in materials science.

Improving descriptors and understandings in Material Sciences using Topological Data Analysis