Unsupervised machine learning of topological phase transitions from experimental data

Summary

This is a publication. If there is no link to the publication on this page, you can try the pre-formated search via the search engines listed on this page.

Authors: Niklas Käming, Anna Dawid, Korbinian Kottmann, Maciej Lewenstein, Klaus Sengstock, Alexandre Dauphin, Christof Weitenberg

Journal title: Machine Learning: Science and Technology

Journal number: 2/3

Journal publisher: IOP Publishing

Published year: 2021

Published pages: 035037

DOI identifier: 10.1088/2632-2153/abffe7

ISSN: 2632-2153