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Title: Interpretable machine learning study of the many-body localization transition in disordered quantum Ising spin chains

Authors:
; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1546143
Grant/Contract Number:  
FG02-99ER45747
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Physical Review B
Additional Journal Information:
Journal Name: Physical Review B Journal Volume: 99 Journal Issue: 5; Journal ID: ISSN 2469-9950
Publisher:
American Physical Society
Country of Publication:
United States
Language:
English

Citation Formats

Zhang, Wei, Wang, Lei, and Wang, Ziqiang. Interpretable machine learning study of the many-body localization transition in disordered quantum Ising spin chains. United States: N. p., 2019. Web. doi:10.1103/PhysRevB.99.054208.
Zhang, Wei, Wang, Lei, & Wang, Ziqiang. Interpretable machine learning study of the many-body localization transition in disordered quantum Ising spin chains. United States. doi:10.1103/PhysRevB.99.054208.
Zhang, Wei, Wang, Lei, and Wang, Ziqiang. Wed . "Interpretable machine learning study of the many-body localization transition in disordered quantum Ising spin chains". United States. doi:10.1103/PhysRevB.99.054208.
@article{osti_1546143,
title = {Interpretable machine learning study of the many-body localization transition in disordered quantum Ising spin chains},
author = {Zhang, Wei and Wang, Lei and Wang, Ziqiang},
abstractNote = {},
doi = {10.1103/PhysRevB.99.054208},
journal = {Physical Review B},
number = 5,
volume = 99,
place = {United States},
year = {2019},
month = {2}
}

Journal Article:
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This content will become publicly available on February 20, 2020
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