Many-body perturbation theory calculations using the yambo code

yambo is an open source project aimed at studying excited state properties of condensed matter systems from first principles using many-body methods. As input, yambo requires ground state electronic structure data as computed by density functional theory codes such as Quantum ESPRESSO and Abinit. ya...

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Veröffentlicht in:Journal of physics. Condensed matter Jg. 31; H. 32; S. 325902 - 325932
Hauptverfasser: Sangalli, D, Ferretti, A, Miranda, H, Attaccalite, C, Marri, I, Cannuccia, E, Melo, P, Marsili, M, Paleari, F, Marrazzo, A, Prandini, G, Bonfà, P, Atambo, M O, Affinito, F, Palummo, M, Molina-Sánchez, A, Hogan, C, Grüning, M, Varsano, D, Marini, A
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England IOP Publishing 14.08.2019
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ISSN:0953-8984, 1361-648X, 1361-648X
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:yambo is an open source project aimed at studying excited state properties of condensed matter systems from first principles using many-body methods. As input, yambo requires ground state electronic structure data as computed by density functional theory codes such as Quantum ESPRESSO and Abinit. yambo's capabilities include the calculation of linear response quantities (both independent-particle and including electron-hole interactions), quasi-particle corrections based on the GW formalism, optical absorption, and other spectroscopic quantities. Here we describe recent developments ranging from the inclusion of important but oft-neglected physical effects such as electron-phonon interactions to the implementation of a real-time propagation scheme for simulating linear and non-linear optical properties. Improvements to numerical algorithms and the user interface are outlined. Particular emphasis is given to the new and efficient parallel structure that makes it possible to exploit modern high performance computing architectures. Finally, we demonstrate the possibility to automate workflows by interfacing with the yambopy and AiiDA software tools.
Bibliographie:JPCM-113556.R1
ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0953-8984
1361-648X
1361-648X
DOI:10.1088/1361-648X/ab15d0