电导
石墨烯
量子隧道
电极
分子
费米能量
材料科学
化学物理
费米能级
纳米技术
轨道能级差
化学
凝聚态物理
光电子学
有机化学
量子力学
物理化学
物理
电子
作者
Yinqi Fan,Shuhui Tao,Sylvain Pitié,Chenguang Liu,Chun Zhao,Mahamadou Seydou,Yannick J. Dappe,Paul J. Low,Richard J. Nichols,Li Yang
出处
期刊:Nanoscale
[The Royal Society of Chemistry]
日期:2023-11-20
卷期号:16 (1): 195-204
被引量:2
摘要
Quantum interference (QI) is well recognised as a significant contributing factor to the magnitude of molecular conductance values in both single-molecule and large area junctions. Numerous structure-property relationship studies have shown that para-connected oligo(phenyleneethynylene) (OPE) based molecular wires exemplify the impact of constructive quantum interference (CQI), whilst destructive quantum interference (DQI) effects are responsible for the orders of magnitude lower conductance of analogous meta-contacted OPE derivatives, despite the somewhat shorter effective tunnelling distance. Since molecular conductance is related to the value of the transmission function, evaluated at the electrode Fermi energy, T(EF), which in turn is influenced by the presence and relative energy of (anti)resonances, it follows that the relative single-molecule conductance of para- and meta-contacted OPE-type molecules is tuned both by the anchor group and the nature of the electrode materials used in the construction of molecular junctions (gold|molecule|gold vs. gold|molecule|graphene). It is shown here that whilst amine-contacted junctions show little influence of the electrode material on molecular conductance due to the similar electrode-molecule coupling through this anchor group to both types of electrodes, the weaker coupling between thiomethyl and ethynyl anchors and the graphene substrate electrode results in a relative enhancement of the DQI effect. This work highlights an additional parameter space to explore QI effects and establishes a new working model based on the electrode materials and anchor groups in modulating QI effects beyond the chemical structure of the molecular backbone.
科研通智能强力驱动
Strongly Powered by AbleSci AI