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  Neural network approach to quasiparticle dispersions in doped antiferromagnets

Lange, H., Döschl, F., Carrasquilla, J., & Bohrdt, A. (2024). Neural network approach to quasiparticle dispersions in doped antiferromagnets. Communications Physics, 7: 187. doi:10.1038/s42005-024-01678-7.

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 Creators:
Lange, Hannah1, 2, 3, Author           
Döschl, Fabian2, Author
Carrasquilla, Juan4, Author
Bohrdt, Annabelle2, Author
Affiliations:
1Theory, Max Planck Institute of Quantum Optics, Max Planck Society, ou_1445571              
2MCQST - Munich Center for Quantum Science and Technology, External Organizations, ou_3330166              
3IMPRS (International Max Planck Research School), Max Planck Institute of Quantum Optics, Max Planck Society, ou_3164443              
4external, ou_persistent22              

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Language(s): eng - English
 Dates: 2023-11-212024-05-292024-062024-06-12
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s42005-024-01678-7
Other: 6543
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Grant ID : -
Funding program : Germany’s Excellence Strategy – EXC-2111 – 390814868
Funding organization : Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
Project name : ERC Starting Grant SimUcQuam
Grant ID : 948141
Funding program : European Union’s Horizon 2020 research and innovation programm
Funding organization : European Research Council (ERC)
Project name : -
Grant ID : -
Funding program : -
Funding organization : International Max Planck Research School

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Title: Communications Physics
Source Genre: Journal
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Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 7 Sequence Number: 187 Start / End Page: - Identifier: ISSN: 2399-3650
CoNE: https://pure.mpg.de/cone/journals/resource/2399-3650