Electron–Phonon Coupling and Electron–Phonon Scattering in SrVO3

Understanding the physics of strongly correlated electronic systems has been a central issue in condensed matter physics for decades. In transition metal oxides, strong correlations characteristic of narrow d bands are at the origin of remarkable properties such as the opening of Mott gap, enhanced effective mass, and anomalous vibronic coupling, to mention a few. SrVO3 with V4+ in a 3d1 electronic configuration is the simplest example of a 3D correlated metallic electronic system. Here, the authors' focus on the observation of a (roughly) quadratic temperature dependence of the inverse electron mobility of this seemingly simple system, which is an intriguing property shared by other metallic oxides. The systematic analysis of electronic transport in SrVO3 thin films discloses the limitations of the simplest picture of e–e correlations in a Fermi liquid (FL); instead, it is shown show that the quasi-2D topology of the Fermi surface (FS) and a strong electron–phonon coupling, contributing to dress carriers with a phonon cloud, play a pivotal role on the reported electron spectroscopic, optical, thermodynamic, and transport data. The picture that emerges is not restricted to SrVO3 but can be shared with other 3d and 4d metallic oxides.Financial support from the Spanish Ministry of Science, Innovation and Universities, through the “Severo Ochoa” Programme for Centres of Excellence in R&D FUNFUTURE (CEX2019-000917-S) and the MAT2017-85232-R (AEI/FEDER, EU), from Generalitat de Catalunya (2017 SGR 1377), and from Deutsche Forschungsgemeinschaft (DFG), through TRR 288–422213477 (A05), is acknowledged. The authors would also like to acknowledge the Computer Center of the Goethe University Frankfurt for providing the computational resources. The work of M.M. has been done as a part of the Ph.D. program in Physics at Universitat Autònoma de Barcelona, and was financially supported by the Spanish Ministry of Science, Innovation and Universities (BES-2015-075223). The contribution of Clemens Lindermeir to the first stages of data analysis is acknowledged.Peer reviewe