Litcius/Paper detail

Persistent Homology Analysis for Materials Research and Persistent Homology Software: HomCloud

Ippei Obayashi, Takenobu Nakamura, Yasuaki Hiraoka

2022Journal of the Physical Society of Japan139 citationsDOIOpen Access PDF

Abstract

This paper introduces persistent homology, which is a powerful tool to characterize the shape of data using the mathematical concept of topology. We explain the fundamental idea of persistent homology from scratch using some examples. We also review some applications of persistent homology to materials researches and software for persistent homology data analysis. HomCloud, one of persistent homology software, is especially featured in this paper.

Topics & Concepts

Persistent homologyHomology (biology)Topological data analysisSoftwareComputer scienceSingular homologyComputational biologyTopology (electrical circuits)Programming languageBiologyGeneticsMathematicsAlgorithmAmino acidCombinatoricsTopological and Geometric Data AnalysisAdvanced Neuroimaging Techniques and ApplicationsHomotopy and Cohomology in Algebraic Topology