Shape reconstruction of nanoparticles from their associated plasmonic resonances

Habib Ammari, Mihai Putinar, Matias Ruiz, Sanghyeon Yu, Hai Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

We prove by means of a couple of examples that plasmonic resonances can be used on one hand to classify shapes of nanoparticles with real algebraic boundaries and on the other hand to reconstruct the separation distance between two nanoparticles from measurements of their first collective plasmonic resonances. To this end, we explicitly compute the spectral decompositions of the Neumann-Poincaré operators associated with a class of quadrature domains and two nearly touching disks. Numerical results are included in support of our main findings.
Original languageEnglish
Pages (from-to)23-48
Number of pages26
JournalJournal de Mathématiques Pures et Appliquées
Volume122
Early online date11 Sep 2017
DOIs
Publication statusPublished - 28 Feb 2019

Fingerprint

Dive into the research topics of 'Shape reconstruction of nanoparticles from their associated plasmonic resonances'. Together they form a unique fingerprint.

Cite this