Issue 11, 2023

Design of D–π–A type carbon nanohoops with enhanced nonlinear optical response: a size-dependent effect study

Abstract

Carbon nanohoop compounds have attracted extensive attention recently due to their aesthetically pleasing structures and unique properties. In order to reveal the structure–property relationship between the size-dependent effect and the nonlinear optical (NLO) response, a series of carbon nanohoops consisting of zigzag carbon nanotubes (CNTs), named D-CM2PnP-A (n = 4, 6, 8, 10, and 12), are systematically designed and investigated using density functional theory (DFT). Significantly, the first hyperpolarizability (βtot) of the system increases with the increasing structure size, which is primarily the result of the charge transfer transition. Subsequently, the major electronic transition changes from local excitation to charge transfer as the size of the structure increases, indicating that charge transfer becomes stronger significantly. Furthermore, a two-level model and the absorption spectrum can well explain the trend of the βtot value. In addition, the unit sphere representation (USR) and hyper-Rayleigh scattering (HRS) are used to further explain the nature of the second-order NLO response. More importantly, adding a π-bridge as an effective strategy further enhances the second-order NLO responses of the system. The relevant results are expected to provide a new perspective on the structure–NLO property correlation of donor (D)–conjugated bridge (π)–acceptor (A) type carbon nanohoops and theoretical guidance for the rational design and synthesis of fascinating carbon nanohoops as NLO materials.

Graphical abstract: Design of D–π–A type carbon nanohoops with enhanced nonlinear optical response: a size-dependent effect study

Supplementary files

Article information

Article type
Paper
Submitted
18 Dec 2022
Accepted
02 Feb 2023
First published
02 Feb 2023

New J. Chem., 2023,47, 5390-5398

Design of D–π–A type carbon nanohoops with enhanced nonlinear optical response: a size-dependent effect study

X. Huang, X. Bai, P. Gan, W. Liu, H. Yan, F. Gao, H. Xu and Z. Su, New J. Chem., 2023, 47, 5390 DOI: 10.1039/D2NJ06185F

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