scispace - formally typeset
F

Fangxiong Ruan

Researcher at Xiamen University

Publications -  5
Citations -  1537

Fangxiong Ruan is an academic researcher from Xiamen University. The author has contributed to research in topics: Surface plasmon resonance & Plasmon. The author has an hindex of 4, co-authored 5 publications receiving 1336 citations.

Papers
More filters
Journal ArticleDOI

Freestanding palladium nanosheets with plasmonic and catalytic properties

TL;DR: The facile synthesis of freestanding hexagonal palladium nanosheets that are less than 10 atomic layers thick are reported, using carbon monoxide as a surface confining agent and exhibit a well-defined but tunable surface plasmon resonance peak in the near-infrared region.
Journal ArticleDOI

Correlating the Shape, Surface Plasmon Resonance, and Surface-Enhanced Raman Scattering of Gold Nanorods

TL;DR: In this article, the shape, surface plasmon resonance (SPR), and surface-enhanced Raman scattering (SERS) of gold nanorods (NRs) in dilute colloids were correlated.
Journal ArticleDOI

FDTD for plasmonics: Applications in enhanced Raman spectroscopy

TL;DR: In this paper, a comparative study of FDTD and rigorous Mie evaluations of electromagnetic fields in the vicinity of a system of self-similar nanospheres shows an excellent correlation between the two computational methods, directly confirming the validity and accuracy of 3D-FDTD simulations in ERS calculations.
Journal ArticleDOI

Synthetically Directed Self-Assembly and Enhanced Surface-Enhanced Raman Scattering Property of Twinned Crystalline Ag/Ag Homojunction Nanoparticles

TL;DR: A synthetically directed self-assembly strategy to the aqueous-phase synthesis of twinned crystalline silver/silver homojunction nanoparticles (Ag/Ag HJNPs) is demonstrated and theoretical calculation results disclose that surface plasmon resonance (SPR) properties are different from those of isolated Ag nanospheres, and their maximal SERS enhancement is in good agreement with the experimental results.
Journal ArticleDOI

Near-field coupling and SERS effects of palladium nanoparticle dimers

TL;DR: In this paper, the authors proposed a method to solve the problem of artificial neural networks in the field of artificial intelligence using natural language processing, which is based on the concept of neural networks.