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Theoretical treatments of ultrafast electron transfer from adsorbed dye molecule to semiconductor nanocrystalline surface

dc.citation.epageen_US
dc.citation.issue15en_US
dc.citation.volume125en_US
dc.citation.woscount10
dc.contributor.authorLiang, Kuo Kanen_US
dc.contributor.authorLin, Chih-Kaien_US
dc.contributor.authorChang, Huan-Chengen_US
dc.contributor.authorHayashi, Michitoshien_US
dc.contributor.authorLin, Sheng Hsienen_US
dc.contributor.department應用化學系zh_TW
dc.contributor.departmentDepartment of Applied Chemistryen_US
dc.date.accessioned2014-12-08T15:15:37Z
dc.date.available2014-12-08T15:15:37Z
dc.date.issued2006-10-21en_US
dc.description.abstractIn studying ultrafast electron transfer from a dye molecule to a nanosized semiconductor particle, pump-probe experiments are commonly used. In this system the electron transfer (ET) rate is faster than vibrational relaxation so that the ET rate should be described by a single-level rate constant and the probing signal (often in the form of time-resolved spectra) contains the contribution from the dynamics of both population and coherence (i.e., wave packet). In this paper, we shall present the theoretical treatments for femtosecond time-resolved pump-probe experiment and the dynamics of population and coherence by the density matrix method, and the calculation of single-level ET rate constant involved in a pump-probe experiment. As an application, we show the theoretical results using parameters extracted from experiments on a specific dye/semiconductor system. (c) 2006 American Institute of Physics.en_US
dc.identifier.doi10.1063/1.2359445en_US
dc.identifier.issn0021-9606en_US
dc.identifier.journalJOURNAL OF CHEMICAL PHYSICSen_US
dc.identifier.urihttp://dx.doi.org/10.1063/1.2359445en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/11662
dc.identifier.wosnumberWOS:000241405300053
dc.language.isoen_USen_US
dc.titleTheoretical treatments of ultrafast electron transfer from adsorbed dye molecule to semiconductor nanocrystalline surfaceen_US
dc.typeArticleen_US

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