Unsupervised data-driven classification of topological gapped systems with symmetries

Unsupervised data-driven classification of topological gapped systems with symmetries

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...

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書目詳細資料
Main Authors:	Long, Yang, Zhang, Baile
其他作者:	School of Physical and Mathematical Sciences
格式:	Article
語言:	English
出版:	2023
主題:	Science::Physics Machine Learning Topological Classification Symmetry
在線閱讀:	https://hdl.handle.net/10356/164496
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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