Characterizing photonic band structures using topological data analysisCharacterizing photonic band structures using topological data analysis Σύντομη Δημοσίευση σε Συνέδριο Conference Short Paper 2023-05-242021enTopological data analysis forms a suite of techniques for characterizing the abstract "shapes" of complex high-dimensional data. Being sensitive to global features, topological data analysis shows promise for the unsupervised machine learning of order parameters and topological phases. Here we show how the topological data analysis technique of persistent homology may be applied to characterize photonic band structures and learn their topological features.http://creativecommons.org/licenses/by/4.0/2021 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference Leykam Daniel Angelakis Dimitrios Αγγελακης Δημητριος Institute of Electrical and Electronics Engineers Data analysis Shape Europe Machine learning Photonics