Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Protein Networks

Protein Networks

Propagation of Waves

Propagation of Waves

When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...

Network Covalent Solids

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...

Propagation of Action Potentials

Propagation of Action Potentials

The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...

Polymer Classification: Architecture

Polymer Classification: Architecture

Polymers are classified as linear or branched on the basis of their chain architecture. The polymer chains in linear polymers have a long chain-like structure with minimal to no branching at all. Even if a polymer features large substituent groups on the monomer, which appear as branches to the skeleton, it is not considered a branched polymer. A branched polymer contains secondary polymer chains that arise from the main polymer chain. The branching occurs when the polymer growth shifts from...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

An Inverse Problem for a Fractional Space-Time Diffusion Equation with Fractional Boundary Condition.

Entropy (Basel, Switzerland)·2026

Same author

Handwritten Digit Recognition with Flood Simulation and Topological Feature Extraction.

Entropy (Basel, Switzerland)·2025

Same author

Remote Eye Movement Desensitization and Reprocessing Treatment of Long-COVID- and Post-COVID-Related Traumatic Disorders: An Innovative Approach.

Brain sciences·2025

Same author

Convolutional Neural Network Model for Intestinal Metaplasia Recognition in Gastric Corpus Using Endoscopic Image Patches.

Diagnostics (Basel, Switzerland)·2024

Same author

Design of Laboratory Stand for Displacement Measurement of IPMC Actuators.

Sensors (Basel, Switzerland)·2023

Same author

Application of Heuristic Algorithms in the Tomography Problem for Pre-Mining Anomaly Detection in Coal Seams.

Sensors (Basel, Switzerland)·2022

Search research articles

Related Experiment Video

Updated: Feb 2, 2026

Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons

Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons

Published on: July 21, 2018

A Multithread Nested Neural Network Architecture to Model Surface Plasmon Polaritons Propagation.

Giacomo Capizzi¹, Grazia Lo Sciuto², Christian Napoli³

¹Department of Electrical, Electronics and Informatics Engineering, University of Catania, 95125 Catania, Italy. gcapizzi@diees.unict.it.

|November 9, 2018

Summary

We developed a novel neural network to study surface plasmon polaritons (SPPs) propagation in plasmonic nanostructures. This automated approach enhances understanding of SPP behavior and metal thickness interdependence.

Keywords:

high performance computing nanoplasmonics nanotechnologies neural networks photonics

More Related Videos

Photodeposition of Pd onto Colloidal Au Nanorods by Surface Plasmon Excitation

Photodeposition of Pd onto Colloidal Au Nanorods by Surface Plasmon Excitation

Published on: August 15, 2019

Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array

Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array

Published on: March 27, 2015

Related Experiment Videos

Last Updated: Feb 2, 2026

Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons

Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons

Published on: July 21, 2018

Photodeposition of Pd onto Colloidal Au Nanorods by Surface Plasmon Excitation

Photodeposition of Pd onto Colloidal Au Nanorods by Surface Plasmon Excitation

Published on: August 15, 2019

Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array

Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array

Published on: March 27, 2015

Area of Science:

Condensed Matter Physics
Nanotechnology
Computational Physics

Background:

Surface Plasmon Polaritons (SPPs) are electron oscillations at metal-dielectric interfaces.
SPP propagation in nanostructures and its dependence on metal thickness are not fully understood.

Purpose of the Study:

To investigate SPP propagation phenomena in plasmonic nanostructures.
To explore the interdependence between SPP propagation and metal thickness.
To automate numerical computations for SPP studies.

Main Methods:

An ad-hoc neural network topology was designed for SPP propagation analysis.
The neural network considers parameters like wavelength, propagation length, and metal thickness.
An advanced training procedure was implemented to prevent error accumulation.

Main Results:

The study presents a novel, automated approach to numerically compute SPP propagation.
The neural network effectively analyzes SPP behavior considering multiple parameters.
The training procedure ensures accurate and reliable computational results.

Conclusions:

The developed neural network offers a powerful tool for studying SPP propagation.
This automated method advances the understanding of plasmonic nanostructures.
Results have potential applications in improving photocells, photon harvesting, and solid-state device models.