Abstract
This paper provides an introduction to persistent homology and a survey of its applications to materials science. Mathematical prerequisites are limited to elementary linear algebra. Important concepts in topological data analysis such as persistent homology and persistence diagram are explained in a selfcontained manner with several examples. These tools are applied to glass structural analysis, crystallization of granular systems, and craze formation of polymers.
Original language | English |
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Title of host publication | Nanoinformatics |
Publisher | Springer Singapore |
Pages | 75-95 |
Number of pages | 21 |
ISBN (Electronic) | 9789811076176 |
ISBN (Print) | 9789811076169 |
DOIs | |
Publication status | Published - Jan 15 2018 |
Externally published | Yes |
Keywords
- Materials informatics
- Persistent homology
- Topological data analysis
ASJC Scopus subject areas
- Engineering(all)
- Chemistry(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Materials Science(all)