Record link: 
http://hdl.handle.net/20.500.12708/210038
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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., Medvidovic Matija, Kiese, D., Anirvan M. Sengupta, Andrew J. Millis, Andergassen, S., & Domenico Di Sante. (2024, May 20). Compressing the two-particle Green’s function using wavelets: Theory and application to the Hubbard atom [Poster Presentation]. International Summer School on Computational Quantum Materials 2024, Québec, Canada. http://hdl.handle.net/20.500.12708/210038
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Publication Type: 
Presentation - Poster Presentation
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Language: 
English
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Authors: 
Moghadas, Emin 
Dräger, Nikolaus 
Toschi, Alessandro 
Zang, Jiawei 
Medvidovic Matija 
Kiese, Dominik 
Anirvan M. Sengupta 
Andrew J. Millis 
Andergassen, Sabine 
Domenico Di Sante 
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Organisational Unit: 
E138-02 - Forschungsbereich Correlations: Theory and Experiments 
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Date (published): 
20-May-2024
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Event name: 
International Summer School on Computational Quantum Materials 2024 
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Event date: 
19-May-2024 - 31-May-2024
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Event place: 
Québec, Canada
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Keywords: 
Strongly correlated systems; dynamical mean field theory; Diagrammatic methods; data compression; Hubbard model
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Project title: 
Dynamische Vertex-Funktionen in Vielteilchensystemen: I 5487 (FWF - Österr. Wissenschaftsfonds) 
Quantum phase transitions and collective modes: I 5868-N (FWF - Österr. Wissenschaftsfonds) 
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Project (external): 
Deutsche Forschungsgemeinschaft
Horizon 2020
Simons Foundation
NSF MRSEC
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Research Areas: 
Quantum Many-body Systems Physics: 30%
Computational Materials Science: 70%
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Science Branch: 
1030 - Physik, Astronomie: 100%
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