Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/138171
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dc.titleCOMPUTATIONAL STUDIES OF ORGANIC ELECTRODE MATERIALS FOR LI AND NA ION BATTERIES
dc.contributor.authorCHEN YINGQIAN
dc.date.accessioned2017-12-31T18:01:10Z
dc.date.available2017-12-31T18:01:10Z
dc.date.issued2017-07-31
dc.identifier.citationCHEN YINGQIAN (2017-07-31). COMPUTATIONAL STUDIES OF ORGANIC ELECTRODE MATERIALS FOR LI AND NA ION BATTERIES. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/138171
dc.description.abstractOrganic materials are promising to be used as electrodes for Li/Na ion batteries, which can be sustainable and scalable. Moreover, many organic electrode materials provide similar performance in Li and Na ion batteries, which is not the case for most inorganic materials. As one of post-Li ion batteries, Na ion batteries with organic electrodes are especially attractive. At the beginning of my study, exciting progress had been made for organic electrodes in Li ion batteries, while few studies had been done for those in Na ion batteries. In this thesis, ab initio modelling is used to understand the charge-discharge mechanism and to predict performance of potential organic electrode materials for Li/Na ion batteries. Three classes of materials are considered: tetracyanides, conjugated dicarboxylates and polyaniline. Specifically, voltage-capacity curves are estimated, and effects of different functional groups and aggregate states are considered, and the performance is rationalized by analyzing electronic structure.
dc.language.isoen
dc.subjectab initio modelling, Li/Na ion batteries, n/p-type organic electrodes, different aggregate states, energetics, electronic structures
dc.typeThesis
dc.contributor.departmentMECHANICAL ENGINEERING
dc.contributor.supervisorMANZHOS, SERGEI
dc.contributor.supervisorPHAN-THIEN, NHAN
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY
dc.identifier.orcid0000-0001-9705-116X
Appears in Collections:Ph.D Theses (Open)

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