Quantum Interference-Controlled Conductance Enhancement in Stacked Graphene-like Dimers.

Li, Peihui; Hou, Songjun; Alharbi, Bader; Wu, Qingqing; Chen, Yijian; Zhou, Li; Gao, Tengyang; Li, Ruihao; Yang, Lan; Chang, Xinyue; Dong, Gang; Liu, Xunshan; Decurtins, Silvio; Liu, Shi-Xia; Hong, Wenjing; Lambert, Colin J; Jia, Chuancheng; Guo, Xuefeng (2022). Quantum Interference-Controlled Conductance Enhancement in Stacked Graphene-like Dimers. Journal of the American Chemical Society, 144(34), pp. 15689-15697. American Chemical Society 10.1021/jacs.2c05909

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Stacking interactions are of significant importance in the fields of chemistry, biology, and material optoelectronics because they determine the efficiency of charge transfer between molecules and their quantum states. Previous studies have proven that when two monomers are π-stacked in series to form a dimer, the electrical conductance of the dimer is significantly lower than that of the monomer. Here, we present a strong opposite case that when two anthanthrene monomers are π-stacked to form a dimer in a scanning tunneling microscopic break junction, the conductance increases by as much as 25 in comparison with a monomer, which originates from a room-temperature quantum interference. Remarkably, both theory and experiment consistently reveal that this effect can be reversed by changing the connectivity of external electrodes to the monomer core. These results demonstrate that synthetic control of connectivity to molecular cores can be combined with stacking interactions between their π systems to modify and optimize charge transfer between molecules, opening up a wide variety of potential applications ranging from organic optoelectronics and photovoltaics to nanoelectronics and single-molecule electronics.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Chemistry, Biochemistry and Pharmaceutical Sciences (DCBP)

UniBE Contributor:

Liu, Xunshan; Decurtins, Silvio and Liu, Shi-Xia

Subjects:

500 Science > 570 Life sciences; biology
500 Science > 540 Chemistry
000 Computer science, knowledge & systems

ISSN:

0002-7863

Publisher:

American Chemical Society

Language:

English

Submitter:

Pubmed Import

Date Deposited:

08 Aug 2022 09:30

Last Modified:

01 Sep 2022 00:16

Publisher DOI:

10.1021/jacs.2c05909

PubMed ID:

35930760

BORIS DOI:

10.48350/171783

URI:

https://boris.unibe.ch/id/eprint/171783

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