Unsupervised data-driven classification of topological gapped systems with symmetries

• Main Authors: Long, Yang, Zhang, Baile
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2023
• Subjects: Science::Physics; Machine Learning; Topological Classification; Symmetry
• Online Access: https://hdl.handle.net/10356/164496
• Institution: Nanyang Technological University

A remarkable breakthrough in topological phase classification is the establishment of the topological periodic table, which is mainly based on the classifying space analysis or K theory, but not based on concrete Hamiltonians that possess finite bands or arise in a lattice. As a result, it is still...