Combining electron-phonon and dynamical mean-field theory calculations of correlated materials: Transport in the correlated metal Sr₂RuO₄
Abstract
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 Sr₂RuO₄. 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 ∼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 kBT, whereas e-ph interactions are associated with scattering rates lower than kBT. 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.
Copyright and License
© 2023 American Physical Society.
Acknowledgement
The authors thank M. Zingl for sharing DMFT data and for fruitful discussions. J.M. acknowledges useful correspondence with F. Baumberger. This work was primarily supported by the National Science Foundation under Grant No. DMR-1750613, which provided for method development, and Grant No. OAC-2209262, which provided for code development. D.J.A. and M.B. were partially supported by the AFOSR and Clarkson Aerospace under Grant No. FA95502110460. J.-J.Z. acknowledges support from the National Natural Science Foundation of China (Grant No. 12104039). J.M. is supported by the Slovenian Research Agency (ARRS) under Grants No. P1-0044 and No. J1-2458. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231 using NERSC award BES-ERCAP-0023043.
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Additional details
- National Science Foundation
- DMR-1750613
- National Science Foundation
- OAC-2209262
- United States Air Force Office of Scientific Research
- FA95502110460
- National Natural Science Foundation of China
- 12104039
- The Slovenian Research and Innovation Agency
- P1-0044
- The Slovenian Research and Innovation Agency
- J1-2458
- United States Department of Energy
- BES-ERCAP-0023043
- United States Department of Energy
- DE-AC02-05CH11231