Sep 20 – 25, 2026
University of Graz
Europe/Vienna timezone

Electron Correlation Effects on the Electronic Structure and Spin Transport Properties of Spintronic Devices Beyond Linear Response

Sep 21, 2026, 10:30 AM
15m
HS 15.12 (University of Graz)

HS 15.12

University of Graz

15 - RESOWI C, 1st floor
3) Contributed talk M03 - Correlated Materials Out of Equilibrium Mini-Colloquium

Speaker

Dr Andrea Droghetti (Ca' Foscari University of Venice, Italy)

Description

Two-terminal spintronic devices remain challenging to model under realistic operating conditions, where the interplay of complex electronic structures, correlation effects and bias-driven non-equilibrium dynamics may significantly impact charge and spin transport. Existing ab initio methods either capture bias-dependent transport but neglect dynamical correlations or include correlations but are restricted to equilibrium or linear-response regimes. To overcome these limitations, we present a framework for steady-state quantum transport, combining density functional theory (DFT), the non-equilibrium Greens' function (NEGF) method, and dynamical mean-field theory (DMFT) [1,2,3,4,5]. Our framework is applicable to magnetic heterostructures such as Co/Cu/Co [3,5] and Fe/MgO/Fe [6], as well as magnetic van der Waals materials like Fe₄GeTe₂ [5], allowing for an accurate description of the spectral properties of 3d bands [6]. Furthermore, it can be extended to finite-bias conditions, beyond linear response. Our results reveal that conduction electrons can undergo bias-driven inelastic excitations [7], leading to a regime we term “hot correlated electrons” [8], which produces distinct spectral and transport signatures potentially accessible in operando experiments. More broadly, our findings uncover a general mechanism by which applied voltage reshapes electronic correlations in ferromagnetic materials.

[1] I. Rungger, A. Droghetti, and M. Stamenova, “Non-equilibrium Green’s Function Methods for Spin, Transport and Dynamics”, in Handbook of Materials Modeling: Methods: Theory and Modeling, edited by W. Andreoni and S. Yip (2020).
[2] A. Droghetti, and I. Rungger, Phys. Rev. B 95, 085131(2017).
[3] A. Droghetti, M.M. Radonjić, L. Chioncel, and I. Rungger, Phys. Rev. B 106, 075156 (2022).
[4] A. Droghetti, M.M. Radonjić, A. Halder, I. Rungger, and L. Chioncel, Phys. Rev. B 105, 115129 (2022).
[5] D. Nell, M.M. Radonjic, I., Rungger, L. Chioncel, S. Sanvito, A. Droghetti, arXiv:2511.18442
[6] D. Nell, S. Sanvito, I. Rungger, A. Droghetti, Phys. Rev. B 111, 035133 (2025).
[7] A. Halder, D. Nell, A. Sihi, A. Bajaj, S. Sanvito, and A. Droghetti, Nano Lett. 24, 9221 (2024).
[8] D Nell, S Sanvito, A Droghetti, arXiv:2510.24322

Author

Dr Andrea Droghetti (Ca' Foscari University of Venice, Italy)

Co-authors

Declan Nell (Trinity College Dublin, Ireland) Ivan Rungger (UK National Physical Laboratory) Liviu Chioncel (University of Augsburg, Germany) Milos Radonjic (Institute of Physics Belgrade, Serbia) Stefano Sanvito (Trinity College Dublin, Ireland)

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