Dynamics of the Anderson impurity model: benchmarking a non-adiabatic exchange-correlation potential in time-dependent density functional theory
Niklas Dittmann, Nicole Helbig, Dante M. Kennes

TL;DR
This study benchmarks a non-adiabatic exchange-correlation potential in TDDFT for the Anderson impurity model, showing it accurately captures transient dynamics at certain temperatures and offers a computationally efficient alternative to exact methods.
Contribution
It validates a non-adiabatic functional within TDDFT against exact and perturbative results for the Anderson impurity model, demonstrating its accuracy and efficiency.
Findings
Non-adiabatic functional yields accurate transient dynamics at temperatures comparable to hybridization strength.
TDDFT RC-times agree with second-order perturbation theory at higher temperatures.
The approach offers a low-cost alternative to exact methods for impurity model dynamics.
Abstract
In this comparative study we benchmark a recently developed non-adiabatic exchange-correlation potential within time-dependent density functional theory (TDDFT) (Phys.\ Rev.\ Lett.\ {\bf 120}, 157701 (2018)) by (a) validating the transient dynamics using a numerically exact density matrix renormalization group approach as well as by (b) comparing the -time, a typical linear response quantity, to upto second order perturbation theory results. As a testbed we use the dynamics of the single impurity Anderson model. These benchmarks show that the non-adiabatic functional yields quantitatively accurate results for the transient dynamics for temperatures of the order of the hybridization strength while the TDDFT -times quantitatively agree with those from second-order perturbation theory for temperatures which are large compared to the hybridization strength. Both results are…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
