Entwistle, Michael (2020) Characterising and approximating exact density functionals for model electronic systems. PhD thesis, University of York.
Abstract
Accurate descriptions of the electronic properties of molecules, solids and other materials are crucial in the development of many modern technologies, and are therefore the subject of much scientific research. In tandem with experimental research, computational simulations play a huge role. Density functional theory (DFT) is the most popular method for performing ground-state electronic structure calculations due to its accuracy in many situations along with its computational efficiency. Its time-dependent extension (TDDFT) allows the modelling of the dynamics of systems of interacting electrons. (TD)DFT is an exact theory in principle, but requires approximations in practice, specifically to the many-body effects of electron exchange and correlation (xc), which are described by some unknown universal functional. Despite much success, it often proves inadequate in many scenarios of increasing interest. Therefore, we aim to contribute to the development of improved approximate density functionals.
In this thesis, we take the approach of studying small model systems for which we can compute the exact functionals. These systems are designed to exhibit the key features present in realistic quantum systems, such as atoms and molecules, which the exact universal (TD)DFT functional is capable of describing, but are often ill-described by the commonly used approximations. By analysing the nature of these exact functionals, we gain valuable insight into their fundamental properties, together with identifying where the current approximations are lacking, thereby allowing us to suggest how these approximations may be improved.
Metadata
Supervisors: | Godby, Rex |
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Related URLs: |
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Awarding institution: | University of York |
Academic Units: | The University of York > School of Physics, Engineering and Technology (York) |
Academic unit: | Physics |
Identification Number/EthosID: | uk.bl.ethos.816970 |
Depositing User: | Mr Michael Entwistle |
Date Deposited: | 28 Oct 2020 16:56 |
Last Modified: | 25 Mar 2021 16:48 |
Open Archives Initiative ID (OAI ID): | oai:etheses.whiterose.ac.uk:27831 |
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