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Including surface ligand effects in continuum elastic models of nanocrystal vibrations.
Lee, Elizabeth M Y; Mork, A Jolene; Willard, Adam P; Tisdale, William A.
Afiliação
  • Lee EMY; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
  • Mork AJ; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
  • Willard AP; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
  • Tisdale WA; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
J Chem Phys ; 147(4): 044711, 2017 Jul 28.
Article em En | MEDLINE | ID: mdl-28764341
ABSTRACT
The measured low frequency vibrational energies of some quantum dots (QDs) deviate from the predictions of traditional elastic continuum models. Recent experiments have revealed that these deviations can be tuned by changing the ligands that passivate the QD surface. This observation has led to speculation that these deviations are due to a mass-loading effect of the surface ligands. In this article, we address this speculation by formulating a continuum elastic theory that includes the dynamical loading by elastic surface ligands. We demonstrate that this model is capable of accurately reproducing the l = 0 phonon energy across a variety of different QD samples, including cores with different ligand identities and epitaxially grown CdSe/CdS core/shell heterostructures. We highlight that our model performs well even in the small QD regime, where traditional elastic continuum models are especially prone to failure. Furthermore, we show that our model combined with Raman measurements can be used to infer the elastic properties of surface bound ligands, such as sound velocities and elastic moduli, that are otherwise challenging to measure.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article