Evidence map›Paper›PMID 36903024›Full record

ArticleMaterials (Basel, Switzerland)2023

Dynamic Multi-Mode Mie Model for Gain-Assisted Metal Nano-Spheres.

Nicole Recalde, Daniel Bustamante, Melissa Infusino, Alessandro Veltri

Full text read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nicole RecaldeColegio de Ciencias e Ingenieria, Universidad San Francisco de Quito, Quito 170901, Ecuador.ORCID 0000-0003-3681-165X
Daniel BustamanteDepartment of Physics, Boston University, Boston, MA 02215, USA.ORCID 0000-0003-0012-6335
Melissa InfusinoColegio de Ciencias e Ingenieria, Universidad San Francisco de Quito, Quito 170901, Ecuador.ORCID 0000-0002-5705-7257
Alessandro VeltriColegio de Ciencias e Ingenieria, Universidad San Francisco de Quito, Quito 170901, Ecuador.ORCID 0000-0002-2256-9439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coupling externally pumped gain materials with plasmonic spherical particles, even in the simplest case of a single spherical nanoparticle in a uniform gain medium, generates an incredibly rich variety of electrodynamic phenomena. The appropriate theoretical description of these systems is dictated by the quantity of the included gain and the size of the nano-particle. On the one hand, when the gain level is below the threshold separating the absorption and the emission regime, a steady-state approach is a rather adequate depiction, yet a time dynamic approach becomes fundamental when this threshold is exceeded. On the other hand, while a quasi-static approximation can be used to model nanoparticles when they are much smaller than the exciting wavelength, a more complete scattering theory is necessary to discuss larger nanoparticles. In this paper, we describe a novel method including a time-dynamical approach to the Mie scattering theory, which is able to account for all the most enticing aspects of the problem without any limitation in the particle's size. Ultimately, although the presented approach does not fully describe the emission regime yet, it does allow us to predict the transient states preceding emission and represents an essential step forward in the direction of a model able to adequately describe the full electromagnetic phenomenology of these systems.

Indexed as

gain assisted metal nanoparticleslocalized surface plasmonsMie theory

Identifiers

PMID36903024
PMCPMC10004665

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read11
table measurements read5
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.