Record link: 
http://hdl.handle.net/20.500.12708/199887
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Title: 
Compressing the two-particle Green’s function using wavelets: Theory and application to the Hubbard atom
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Citation: 
Moghadas, E., Dräger, N., Toschi, A., Zang, J., Medvidović, M., Kiese, D., Millis, A. J., Sengupta, A., Andergassen, S., & Di Sante, D. (2024). Compressing the two-particle Green’s function using wavelets: Theory and application to the Hubbard atom. European Physical Journal Plus, 139, Article 700. https://doi.org/10.1140/epjp/s13360-024-05403-9
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Publisher DOI: 
10.1140/epjp/s13360-024-05403-9
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Publication Type: 
Article - Original Research Article
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Language: 
English
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Authors: 
Moghadas, Emin 
Dräger, Nikolaus 
Toschi, Alessandro 
Zang, Jiawei 
Medvidović, Matija 
Kiese, Dominik 
Millis, Andrew J. 
Sengupta, Anirvan 
Andergassen, Sabine 
Di Sante, Domenico 
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Organisational Unit: 
E194-06 - Forschungsbereich Machine Learning 
E138-02 - Forschungsbereich Correlations: Theory and Experiments 
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML) 
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Journal: 
European Physical Journal Plus 
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ISSN: 
2190-5444
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Date (published): 
7-Aug-2024
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Number of Pages: 
22
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Publisher: 
SPRINGER HEIDELBERG
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Peer reviewed: 
Yes
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Keywords: 
Compression through wavelets; Green's functions; Quantum many-body theory
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Research facilities: 
Vienna Scientific Cluster 
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Research Areas: 
Modeling and Simulation: 50%
Computational Materials Science: 50%
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Science Branch: 
1020 - Informatik: 50%
1030 - Physik, Astronomie: 50%
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