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  Classifying Snapshots of the Doped Hubbard Model with Machine Learning

Bohrdt, A., Chiu, C. S., Ji, G., Xu, M., Greif, D., Greiner, M., et al. (2019). Classifying Snapshots of the Doped Hubbard Model with Machine Learning. Nature Physics, 15, 921-924. doi:10.1038/s41567-019-0565-x.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-D86F-D Version Permalink: http://hdl.handle.net/21.11116/0000-0004-D870-A
Genre: Journal Article

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 Creators:
Bohrdt, Annabelle1, Author              
Chiu, Christie S., Author
Ji, Geoffrey, Author
Xu, Muqing, Author
Greif, Daniel, Author
Greiner, Markus, Author
Demler, Eugene, Author
Grusdt, Fabian, Author
Knap , Michael, Author
Affiliations:
1IMPRS (International Max Planck Research School), Max Planck Institute of Quantum Optics, Max Planck Society, ou_3164443              

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Language(s): eng - English
 Dates: 2018-12-012019-07-012019-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Degree: -

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Project name : DFG grant no. KN1254/1-1, and DFG TRR80 (Project F8)
Grant ID : -
Funding program : Germany’s Excellence Strategy–EXC-2111–390814868
Funding organization : Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
Project name : NSF grant no. DMR-1308435, AFOSR-MURI Quantum Phases of Matter (grant FA9550-14-1-0035), AFOSR grant no. FA9550-16-10323
Grant ID : -
Funding program : -
Funding organization : Harvard-MIT CUA
Project name : grant no. 6791, NSF GRFP and grant nos. PHY-1506203 and PHY-1734011, ONR grant no. N00014-18-1-2863
Grant ID : -
Funding program : EPIQS programme
Funding organization : Gordon and Betty Moore Foundation
Project name : -
Grant ID : 291763
Funding program : German Excellence Initiative and the European Union FP7
Funding organization : SNSF, Studienstiftung des deutschen Volkes, and the Technical University of Munich - Institute for Advanced Study

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Title: Nature Physics
  Other : Nat. Phys.
Source Genre: Journal
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Publ. Info: London : Nature Pub. Group
Pages: - Volume / Issue: 15 Sequence Number: - Start / End Page: 921 - 924 Identifier: ISSN: 1745-2473
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000025850