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Improving Descriptors and Understandings in Material Sciences Using Topological Data Analysis

Offered By: Banach Center via YouTube

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Topological Data Analysis Courses Data Visualization Courses Persistent Homology Courses Computational Materials Science Courses

Course Description

Overview

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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.

Syllabus

Improving descriptors and understandings in Material Sciences using Topological Data Analysis


Taught by

Banach Center

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