Dynamically blocking leakage current in molecular tunneling junctions
Year: 2024
Type: article
Abstract: Molecular tunneling junctions based on self-assembled monolayers (SAMs) have demonstrated rectifying characteristics at the nanoscale that can hardly be achieved using traditional approaches. However, defects in SAMs result in high leakage when applying bias. The poor performance of molecular diodes compared to silicon or thin-film devices limits their further development. In this study, we show that incorporating "mixed backbones" with flexible-rigid structures into molecular junctions can dynamically block tunneling currents, which is difficult to realize using non-molecular technology. Our idea is achieved by the interaction between interfacial dipole moments and electric field, triggering structured packing in SAMs. Efficient blocking of leakage by more than an order of magnitude leads to a significant enhancement of the rectification ratio to the initial value. The rearrangement of supramolecular structures has also been verified through electrochemistry and electroluminescence measurements. Moreover, the enhanced rectification is extended to various challenging environments, including endurance measurements, bending of electrodes, and rough electrodes, thus demonstrating the feasibility of the dynamic behavior of molecules for practical electronic applications.
Source: Chemical Science
DOI: 10.1039/d4sc02829e
Authors: Yu Xie, Shengzhe Qiu, Qianqian Guo, Chengtai Li, Ningyue Chen, Ziming Zhou, Zhenyu Yang, Zhou Cao, Tao Wang, Wei Du, Lejia Wang, Yuan Li
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funders: Suzhou Key Laboratory of Functional Nano and Soft Materials, National Natural Science Foundation of China, Tsinghua University, Collaborative Innovation Center of Suzhou Nano Science and Technology, Higher Education Discipline Innovation Project, Tsinghua Initiative Scientific Research Program, Shanxi Research Institute for Clean Energy
OpenAlex ID: W4400101758
