Bulletin of the American Physical Society
APS March Meeting 2021
Volume 66, Number 1
Monday–Friday, March 15–19, 2021; Virtual; Time Zone: Central Daylight Time, USA
Session C22: Emerging Trends in MD Simulations and Machine Learning II
3:00 PM–6:00 PM,
Monday, March 15, 2021
Sponsoring
Units:
DCOMP GDS DSOFT DPOLY
Chair: Priya Vashishta, Univ of Southern California
Abstract: C22.00009 : Quantum Dynamics Made Fast: Achieving Linear Time-Scaling for Nonequilibrium Green Functions
4:36 PM–4:48 PM
Not Participating
Presenter:
Niclas Schlünzen
(CAU Kiel, Germany)
Authors:
Niclas Schlünzen
(CAU Kiel, Germany)
Jan-Philip Joost
(CAU Kiel, Germany)
Michael Bonitz
(CAU Kiel, Germany)
Among others, the nonequilibrium Green functions (NEGF) method has proven to be a powerful tool to reliably predict the quantum dynamics, without being limited to 1D or spatially homogeneous systems. However, NEGF simulations are computationally expensive due to their T3 scaling with the simulation duration T. With the introduction of the generalized Kadanoff–Baym ansatz[1] (GKBA) T2 scaling could be achieved for second-order Born (SOA) selfenergies[2], which has substantially extended the scope of NEGF simulations. Recently[3], we could show that GKBA-NEGF simulations can be performed with order T1 scaling for SOA, GW, and T-matrix selfenergies, and even for the screened-ladder approximation[4]. Here, we show numerical results for various many-body approximations and demonstrate that a tremendous computational speed-up can be achieved in practice.
[1] P. Lipavský et al., Phys. Rev. B 34, 6933 (1986)
[2] S. Hermanns et al., Phys. Scr. 2012 014036 (2012)
[3] N. Schlünzen et al.,Phys. Rev. Lett. 124, 076601 (2020)
[4] J.-P. Joost et al., Phys. Rev. B 101, 245101 (2020)
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