Combining electron-phonon and dynamical mean-field theory calculations of correlated materials: Transport in the correlated metal Sr2RuO4
Combining electron-phonon and dynamical mean-field theory calculations of correlated materials: Transport in the correlated metal
Sr2RuO4
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结合相关材料的电子声子和动态平均场理论计算:相关金属 Sr2RuO4 中的输运
DOI:
10.1103/physrevmaterials.7.093801
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发表时间:
2023
影响因子:
3.4
通讯作者:
M. Bernardi
中科院分区:
文献类型:
--
作者:
David J. Abramovitch;Jin;J. Mravlje;A. Georges;M. Bernardi
Electron-electron ($e$-$e$) and electron-phonon ($e$-ph) interactions are challenging to describe in correlated materials, where their joint effects govern unconventional transport, phase transitions, and superconductivity. Here we combine first-principles $e$-ph calculations with dynamical mean field theory (DMFT) as a step toward a unified description of $e$-$e$ and $e$-ph interactions in correlated materials. We compute the $e$-ph self-energy using the DMFT electron Green's function, and combine it with the $e$-$e$ self-energy from DMFT to obtain a Green's function including both interactions. This approach captures the renormalization of quasiparticle dispersion and spectral weight on equal footing. Using our method, we study the $e$-ph and $e$-$e$ contributions to the resistivity and spectral functions in the correlated metal Sr$_2$RuO$_4$. In this material, our results show that $e$-$e$ interactions dominate transport and spectral broadening in the temperature range we study (50$-$310~K), while $e$-ph interactions are relatively weak and account for only $\sim$10\% of the experimental resistivity. We also compute effective scattering rates, and find that the $e$-$e$ interactions result in scattering several times greater than the Planckian value $k_BT$, whereas $e$-ph interactions are associated with scattering rates lower than $k_BT$. Our work demonstrates a first-principles approach to combine electron dynamical correlations from DMFT with $e$-ph interactions in a consistent way, advancing quantitative studies of correlated materials.
影响因子:
5.7
作者:
C. Lewandowski;S. Nadj-Perge;D. Chowdhury
通讯作者:
C. Lewandowski;S. Nadj-Perge;D. Chowdhury
影响因子:
19.6
作者:
Zhenyu Wang;D. Walkup;P. Derry;Thomas Scaffidi;M. Rak;S. Vig;A. Kogar;I. Zeljkovic;A. Husain-
通讯作者:
Zhenyu Wang;D. Walkup;P. Derry;Thomas Scaffidi;M. Rak;S. Vig;A. Kogar;I. Zeljkovic;A. Husain-
影响因子:
9.7
作者:
Chang, Benjamin K.;Zhou, Jin-Jian;Bernardi, Marco
通讯作者:
Bernardi, Marco