scispace - formally typeset
M

Matthew Sheldon

Researcher at Texas A&M University

Publications -  52
Citations -  1908

Matthew Sheldon is an academic researcher from Texas A&M University. The author has contributed to research in topics: Plasmon & Nanocrystal. The author has an hindex of 17, co-authored 46 publications receiving 1483 citations. Previous affiliations of Matthew Sheldon include Veeco & Lawrence Berkeley National Laboratory.

Papers
More filters
Journal ArticleDOI

Exciton-to-Dopant Energy Transfer in Mn-Doped Cesium Lead Halide Perovskite Nanocrystals

TL;DR: Observations indicate that CsPbX3 nanocrystals, possessing many superior optical and electronic characteristics, can be utilized as a new platform for magnetically doped quantum dots expanding the range of optical, electronic, and magnetic functionality.
Journal ArticleDOI

Plasmoelectric potentials in metal nanostructures

TL;DR: A method for achieving electric potential that uses an all-metal geometry based on the plasmon resonance in metal nanostructures to induce electric potentials induced in gold nanospheres by optical irradiation is developed.
Journal ArticleDOI

Silicon-Based Plasmonics for On-Chip Photonics

TL;DR: Si-based plasmonics have the potential to not only reduce the size of photonic components to deeply subwavelength scales, but also to enhance the emission, detection, and manipulation of optical signals in Si.
Journal ArticleDOI

Enhanced semiconductor nanocrystal conductance via solution grown contacts.

TL;DR: In this article, a 100,000-fold increase in the conductance of individual CdSe nanorods was reported when they were electrically contacted via direct solution phase growth of Au tips on the nanorod ends.
Journal ArticleDOI

Self-Assembled Epitaxial Au-Oxide Vertically Aligned Nanocomposites for Nanoscale Metamaterials.

TL;DR: This work demonstrates the one-step direct growth of self-assembled epitaxial metal-oxide nanocomposites as a drastically different approach to fabricating large-area nanostructured metamaterials and predicts exotic properties, such as zero permittivity responses and topological transitions.