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Subsystem density‐functional theory
Author(s) -
Jacob Christoph R.,
Neugebauer Johannes
Publication year - 2014
Publication title -
wiley interdisciplinary reviews: computational molecular science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.126
H-Index - 81
eISSN - 1759-0884
pISSN - 1759-0876
DOI - 10.1002/wcms.1175
Subject(s) - density functional theory , embedding , excited state , computer science , wave function , orbital free density functional theory , function (biology) , property (philosophy) , statistical physics , computational chemistry , time dependent density functional theory , physics , quantum mechanics , chemistry , artificial intelligence , philosophy , epistemology , evolutionary biology , biology
Subsystem density‐functional theory (subsystem DFT) has developed into a powerful alternative to Kohn–Sham DFT for quantum chemical calculations of complex systems. It exploits the idea of representing the total electron density as a sum of subsystem densities. The optimum total density is found by minimizing the total energy with respect to each of the subsystem densities, which breaks down the electronic‐structure problem into effective subsystem problems. This enables calculations on large molecular aggregates and even (bio‐)polymers without system‐specific parameterizations. We provide a concise review of the underlying theory, typical approximations, and embedding approaches related to subsystem DFT such as frozen‐density embedding (FDE). Moreover, we discuss extensions and applications of subsystem DFT and FDE to molecular property calculations, excited states, and wave function in DFT embedding methods. Furthermore, we outline recent developments for reconstruction techniques of embedding potentials arising in subsystem DFT, and for using subsystem DFT to incorporate constraints into DFT calculations. This article is categorized under: Structure and Mechanism > Computational Materials Science