Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/121741
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dc.titleSTEADY-STATE DENSITY FUNCTIONAL THEORY FOR NON-EQUILIBRIUM QUANTUM SYSTEMS
dc.contributor.authorLIU SHUANGLONG
dc.date.accessioned2015-11-30T18:01:03Z
dc.date.available2015-11-30T18:01:03Z
dc.date.issued2015-08-11
dc.identifier.citationLIU SHUANGLONG (2015-08-11). STEADY-STATE DENSITY FUNCTIONAL THEORY FOR NON-EQUILIBRIUM QUANTUM SYSTEMS. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/121741
dc.description.abstractWe study the electronic and transport properties of a molecular junction under finite bias. First, based on Hershfield's non-equilibrium statistics, we developed a steady state density functional theory (SS-DFT) and showed that two electron densities, current-carrying electron density and equilibrium electron density, determine the properties of the molecular junction in steady state. Second, based on the stationary condition of an effective ground state energy, we derived a dual mean field (DMF) approach for obtaining the desired steady state. In the DMF approach, current-carrying and equilibrium electrons experience different mean field potentials and two sets of coupled mean field equations need to be solved simultaneously. Third, we generalized the Thomas-Fermi-Dirac model into non-equilibrium situation and obtained the exchange energy functional with non-equilibrium correction. Finally, we have implemented SS-DFT in SIESTA package and simulated several realistic molecular junctions. Our study paves the way to first-principles methods for the study of molecular junctions under finite bias.
dc.language.isoen
dc.subjectsteady state, density functional theory, quantum transport, molecular electronics, first-principles, electronic structure
dc.typeThesis
dc.contributor.departmentPHYSICS
dc.contributor.supervisorZHANG CHUN
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Ph.D Theses (Open)

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