中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Theoretical Characterization of the PC60BM:PDDTT Model for an Organic Solar Cell

文献类型:期刊论文

作者Li, YZ ; Pullerits, T ; Zhao, MY ; Sun, MT
刊名JOURNAL OF PHYSICAL CHEMISTRY C
出版日期2011
卷号115期号:44页码:21865
关键词ELECTRON-TRANSFER CONJUGATED POLYMERS CHARGE-TRANSFER ENERGY CHEMISTRY STATES MOLECULES COPOLYMER SYSTEMS UNITS
ISSN号1932-7447
通讯作者Sun, MT (reprint author), Chinese Acad Sci, Beijing Natl Lab Condensed Matter Phys, Inst Phys, POB 603-146, Beijing 100190, Peoples R China.
中文摘要We use time-dependent density functional theory together with a set of extensive multidimensional visualization techniques to characterize band gap, optical absorption properties, intramolecular and intern-wreaths charge transfer, exciton binding energy, charge transfer integral, and the rate of charge transfer and recombination in the PC60BM:PDDTT Model of an organic,solar cell. These theoretical methods and calculation techniques only promote deeper understanding of the connection between chemical structures and the optical and electronic properties Of the donor-acceptor system but also can be used to rational design novel donor-acceptor system.
收录类别SCI
资助信息National Natural Science Foundation of China [10874234, 90923003, 20703064]; National Basic Research Project of China [2009CB930701]; Wenner-Gren Foundation of Sweden; Swedish Research Council; STEM
语种英语
公开日期2013-09-23
源URL[http://ir.iphy.ac.cn/handle/311004/45627]  
专题物理研究所_物理所公开发表论文_物理所公开发表论文_期刊论文
推荐引用方式
GB/T 7714
Li, YZ,Pullerits, T,Zhao, MY,et al. Theoretical Characterization of the PC60BM:PDDTT Model for an Organic Solar Cell[J]. JOURNAL OF PHYSICAL CHEMISTRY C,2011,115(44):21865.
APA Li, YZ,Pullerits, T,Zhao, MY,&Sun, MT.(2011).Theoretical Characterization of the PC60BM:PDDTT Model for an Organic Solar Cell.JOURNAL OF PHYSICAL CHEMISTRY C,115(44),21865.
MLA Li, YZ,et al."Theoretical Characterization of the PC60BM:PDDTT Model for an Organic Solar Cell".JOURNAL OF PHYSICAL CHEMISTRY C 115.44(2011):21865.

入库方式: OAI收割

来源:物理研究所

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