Towards TDDFT for Strongly Correlated Materials
AbstractWe present some details of our recently-proposed Time-Dependent Density-Functional Theory (TDDFT) for strongly-correlated materials in which the exchange-correlation (XC) kernel is derived from the charge susceptibility obtained using Dynamical Mean-Field Theory (the TDDFT + DMFT approach). We proceed with deriving the expression for the XC kernel for the one-band Hubbard model by solving DMFT equations via two approaches, the Hirsch–Fye Quantum Monte Carlo (HF-QMC) and an approximate low-cost perturbation theory approach, and demonstrate that the latter gives results that are comparable to the exact HF-QMC solution. Furthermore, through a variety of applications, we propose a simple analytical formula for the XC kernel. Additionally, we use the exact and approximate kernels to examine the nonhomogeneous ultrafast response of two systems: a one-band Hubbard model and a Mott insulator YTiO3. We show that the frequency dependence of the kernel, i.e., memory effects, is important for dynamics at the femtosecond timescale. We also conclude that strong correlations lead to the presence of beats in the time-dependent electric conductivity in YTiO3, a feature that could be tested experimentally and that could help validate the few approximations used in our formulation. We conclude by proposing an algorithm for the generalization of the theory to non-linear response. View Full-Text
Share & Cite This Article
Acharya, S.R.; Turkowski, V.; Rahman, T.S. Towards TDDFT for Strongly Correlated Materials. Computation 2016, 4, 34.
Acharya SR, Turkowski V, Rahman TS. Towards TDDFT for Strongly Correlated Materials. Computation. 2016; 4(3):34.Chicago/Turabian Style
Acharya, Shree R.; Turkowski, Volodymyr; Rahman, Talat S. 2016. "Towards TDDFT for Strongly Correlated Materials." Computation 4, no. 3: 34.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.