Publication Cover
Molecular Physics
An International Journal at the Interface Between Chemistry and Physics
Volume 114, 2016 - Issue 6
137
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

Enhanced optical nonlinearity based on silicon ring

, &
Pages 835-844 | Received 07 Oct 2015, Accepted 17 Nov 2015, Published online: 22 Dec 2015
 

ABSTRACT

The time-dependent density functional cubic response calculations show that silicon analogues of polycyclic aromatic hydrocarbons have much larger non-resonant second-order optical hyperpolarisabilities (γ) than corresponding hydrocarbons. An analysis of fuzzy atom bond order quantitatively reveals that these silicon analogues have a very similar π-electron delocalisation to corresponding hydrocarbons. The enhanced optical nonlinearity of these silicon analogues is attributed to the higher (hyper)polarisabilities of the silicon atom and a significant decrease in transition energies of silicon analogues compared with corresponding hydrocarbons. The silicon analogues of polycyclic aromatic hydrocarbons would be good candidates as infrared nonlinear optical materials due to their enhanced non-resonant nonlinear optical polarisabilities in the infrared range.

Acknowledgements

We appreciate the financial supports from Natural Science Foundation of China Project 21303164 and the computational supports from Zhejiang Key Laboratory for Reactive Chemistry on Solid Surfaces.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 886.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.