Surface-Mounted Dipolar Molecular Rotors Driven by External Electric Field, As Revealed by Torque Analyses

Yan-Ling Zhao, Wanxing Lin, Kulpavee Jitapunkul, Rundong Zhao*, Rui-Qin Zhang*, Michel A. Van Hove*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

7 Citations (Scopus)
66 Downloads (CityUHK Scholars)

Abstract

Driven by a high-speed rotating electric field (E-field), molecular motors with polar groups may perform a unidirectional, repetitive, and GHz frequency rotation and thus offer potential applications as nanostirrers. To drive the unidirectional rotation of molecular motors, it is crucial to consider factors of internal charge flow, thermal noise, molecular flexibility, and so forth before selecting an appropriate frequency of a rotating E-field. Herein, we studied two surface-mounted dipolar rotors of a "caltrop-like"molecule and a "sandwich"molecule by using quantum-mechanical computations in combination with torque analyses. We find that the rotational trend as indicated by the magnitude and the direction of torque vectors can sensitively change with the lag angle (α) between the dipolar arm and the E-field. The atomic charges timely flow within the molecule as the E-field rotates, so the lag angle α must be kept in particular intervals to maintain the rotor's unidirectional rotation. The thermal effect can substantially slow down the rotation of the dipolar rotor in the E-field. The flexible dipolar arm shows a more rigid geometry in the E-field with higher rotation speed. Our work would be useful for designing E-driven molecular rotors and for guiding their practical applications in future.
Original languageEnglish
Pages (from-to)35159–35169
JournalACS Omega
Volume7
Issue number39
Online published20 Sept 2022
DOIs
Publication statusPublished - 4 Oct 2022

Funding

This work was financially supported by the Collaborative Research Fund of the Research Grants Council of Hong Kong (C2014-15G), the National Natural Science Foundation of China (21703190, 12104028), and also the Shenzhen Natural Science Foundation (JCYJ20190813164801693). We acknowledge the Beijing Computational Science Research Center, the National Supercomputer Centers in Guangzhou and Shenzhen, and the High-Performance Cluster Computing Centre in Hong Kong Baptist University for providing computational resources.

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

RGC Funding Information

  • RGC-funded

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