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Larmor precession in strongly correlated itinerant electron systems
NanoLund and Division of Mathematical Physics, Department of Physics, Lund University, Lund, Sweden.ORCID iD: 0000-0002-5436-290X
Örebro University, School of Science and Technology. Institute for Molecules and Materials, Radboud University, Nijmegen, the Netherlands.ORCID iD: 0000-0002-7263-4403
2023 (English)In: Communications Physics, E-ISSN 2399-3650, Vol. 6, no 1, article id 289Article in journal (Refereed) Published
Abstract [en]

Many-electron systems undergo a collective Larmor precession in the presence of a magnetic field. In a paramagnetic metal, the resulting spin wave provides insight into the correlation effects generated by the electron-electron interaction. Here, we use dynamical mean-field theory to investigate the collective Larmor precession in the strongly correlated regime, where dynamical correlation effects such as quasiparticle lifetimes and non-quasiparticle states are essential. We study the spin excitation spectrum, which includes a dispersive Larmor mode as well as electron-hole excitations that lead to Stoner damping. We also extract the momentum-resolved damping of slow spin waves. The accurate theoretical description of these phenomena relies on the Ward identity, which guarantees a precise cancellation of self-energy and vertex corrections at long wavelengths. Our findings pave the way towards a better understanding of spin wave damping in correlated materials.

Place, publisher, year, edition, pages
Springer Nature, 2023. Vol. 6, no 1, article id 289
National Category
Condensed Matter Physics
Research subject
Physics
Identifiers
URN: urn:nbn:se:oru:diva-110172DOI: 10.1038/s42005-023-01411-wISI: 001189189800001Scopus ID: 2-s2.0-85174155303OAI: oai:DiVA.org:oru-110172DiVA, id: diva2:1818707
Funder
Swedish Research Council, 2022-03090; 2018-05973eSSENCE - An eScience Collaboration, eSSENCE@LU9:1EU, Horizon 2020, 854843-FASTCORRSwedish National Infrastructure for Computing (SNIC)
Note

Ev.L. acknowledges support from Gyllenstiernska Krapperupsstiftelsen, the Crafoord Foundation, and from the Swedish Research Council (Vetenskapsradet, VR) under grant 2022-03090. Ev.L. also acknowledges support by eSSENCE, a strategic research area for e-Science, grant number eSSENCE@LU9:1.HURS acknowledges funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant agreement No. 854843-FASTCORR). The computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) through the projects LU 2022/2-32, LU 2021/2-76, SNIC 2022/23-304, SNIC 2021/23370, SNIC 2022/21-15, SNIC 2022/13-9, SNIC 2021/28-8, SNIC 2022/6-113, SNIC 2021/6-133, SNIC 2022/1-18, and SNIC 2021/1-36, at Lunarc, HPC2N, PDC, and NSC partially funded by the Swedish Research Council through grant agreement No. 2018-05973.

Available from: 2023-12-12 Created: 2023-12-12 Last updated: 2024-04-03Bibliographically approved

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Strand, Hugo U. R.

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