Machine Learning for Predicting the Surface Plasmon Resonance of Perfect and Concave Gold Nanocubes-Reference-Cited by-同舟云学术

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Machine Learning for Predicting the Surface Plasmon Resonance of Perfect and Concave Gold Nanocubes

Published:2020-11-09 Issue:46 Volume:124 Page:25447-25454
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Arzola-Flores J. A.¹,González A. L.¹^ORCID

Affiliation:

1. Instituto de Física, Benemérita Universidad Autónoma de Puebla, Apdo. Post. J-48, Puebla 72570, Pue., Mexico

Funder

Consejo Nacional de Ciencia y Tecnolog?a

Benem?rita Universidad Aut?noma de Puebla

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.0c05995

Reference47 articles.

1. The Optical Properties of Metal Nanoparticles: The Influence of Size, Shape, and Dielectric Environment

2. Optical properties of isolated and supported metal nanoparticles

3. Generating heat with metal nanoparticles

4. Hyperbolic Meta-Antennas Enable Full Control of Scattering and Absorption of Light

5. Localized Surface Plasmons of Multifaceted Metal Nanoparticles

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