Published March 28, 2016 | Version v1
Journal article

Revealing electronic open quantum systems with subsystem TDDFT

  • 1. Department of Chemistry, Rutgers University, Newark, New Jersey 07102 (United States)

Description

Open quantum systems (OQSs) are perhaps the most realistic systems one can approach through simulations. In recent years, describing OQSs with Density Functional Theory (DFT) has been a prominent avenue of research with most approaches based on a density matrix partitioning in conjunction with an ad-hoc description of system-bath interactions. We propose a different theoretical approach to OQSs based on partitioning of the electron density. Employing the machinery of subsystem DFT (and its time-dependent extension), we provide a novel way of isolating and analyzing the various terms contributing to the coupling between the system and the surrounding bath. To illustrate the theory, we provide numerical simulations on a toy system (a molecular dimer) and on a condensed phase system (solvated excimer). The simulations show that non-Markovian dynamics in the electronic system-bath interactions are important in chemical applications. For instance, we show that the superexchange mechanism of transport in donor-bridge-acceptor systems is a non-Markovian interaction between the donor-acceptor (OQS) with the bridge (bath) which is fully characterized by real-time subsystem time-dependent DFT.

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Chemical Physics
Journal Volume
144
Journal Issue
12
Journal Page Range
p. 124118-124118.8
ISSN
0021-9606
CODEN
JCPSA6

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49002956
Subject category
S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY;
Descriptors DEI
COMPUTERIZED SIMULATION; DENSITY FUNCTIONAL METHOD; DENSITY MATRIX; ELECTRON DENSITY; INTERACTIONS; QUANTUM SYSTEMS; TIME DEPENDENCE
Descriptors DEC
CALCULATION METHODS; MATRICES; SIMULATION; VARIATIONAL METHODS

Optional Information

Notes
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