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Exploring a Linear Combination Feature for Predicting the Conductance of Parallel Molecular Circuits.

作者信息

Yan Sai-Sai, Chen Li-Chuan, Wang Jin-Yun, Duan Ping, Pan Zi-You, Qu Kai, Hong Wenjing, Chen Zhong-Ning, Zhang Qian-Chong

机构信息

State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian 350002, China.

University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Nano Lett. 2023 Oct 25;23(20):9399-9405. doi: 10.1021/acs.nanolett.3c02763. Epub 2023 Oct 12.

Abstract

An accurate rule for predicting conductance is the cornerstone of developing molecular circuits and provides a promising solution for miniaturizing electric circuits. The successful prediction of series molecular circuits has proven the possibility of establishing a rule for molecular circuits under quantum mechanics. However, the quantitatively accurate prediction has not been validated by experiments for parallel molecular circuits. Here we used 1,3-dihydrobenzothiophene (DBT) to build the parallel molecular circuits. The theoretical simulation and single-molecule conductance measurements demonstrated that the conductance of the molecule containing one DBT is the unprecedented linear combination of the conductance of the two individual channels with respective contribution weights of 0.37 and 0.63. With these weights, the conductance of the molecule containing two DBTs is predicted as 1.81 nS, matching perfectly with the measured conductance (1.82 nS). This feature offers a potential rule for quantitatively predicting the conductance of parallel molecular circuits.

摘要

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