Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Entropy02:39

Entropy

36.2K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
36.2K
Entropy01:18

Entropy

3.6K
The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
3.6K
Standard Entropy Change for a Reaction03:00

Standard Entropy Change for a Reaction

24.9K
Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
24.9K
Entropy and Solvation02:05

Entropy and Solvation

8.4K
The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
8.4K
Entropy within the Cell01:22

Entropy within the Cell

12.9K
A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that...
12.9K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

10.0K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
10.0K

You might also read

Related Articles

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

Sort by
Same author

Three-Dimensional Encoding Approach for Wearable Tactile Communication Devices.

Sensors (Basel, Switzerland)·2022
Same author

Aggregation of high-frequency RBD mutations of SARS-CoV-2 with three VOCs did not cause significant antigenic drift.

Journal of medical virology·2022
Same author

Emerging nanomedicines of paclitaxel for cancer treatment.

Journal of controlled release : official journal of the Controlled Release Society·2022
Same author

Omicron escapes the majority of existing SARS-CoV-2 neutralizing antibodies.

Nature·2022
Same author

Long-term exposure to low ambient air pollution concentrations and mortality among 28 million people: results from seven large European cohorts within the ELAPSE project.

The Lancet. Planetary health·2022
Same author

Improved intergranular corrosion resistance of Al-Mg-Mn alloys with Sc and Zr additions.

Micron (Oxford, England : 1993)·2022

Related Experiment Video

Updated: Feb 5, 2026

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces
09:33

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces

Published on: June 7, 2019

6.7K

Information entropy of coding metasurface.

Tie-Jun Cui1,2, Shuo Liu1,3, Lian-Lin Li4

  • 1Department of Radio Engineering, State Key Laboratory of Millimeter Waves, Southeast University, 2 Si-Pai-Lou, Nanjing 210096, China.

Light, Science & Applications
|September 1, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces Shannon entropy to quantify information in coding metasurfaces. Metasurfaces can enhance information transmission, with controllable information content via coding patterns.

Keywords:
codingentropyinformationmetasurface

More Related Videos

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood
09:40

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood

Published on: November 28, 2018

7.8K
Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

34.4K

Related Experiment Videos

Last Updated: Feb 5, 2026

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces
09:33

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces

Published on: June 7, 2019

6.7K
Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood
09:40

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood

Published on: November 28, 2018

7.8K
Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

34.4K

Area of Science:

  • Electromagnetics
  • Information Theory
  • Materials Science

Background:

  • Metamaterials and metasurfaces excel at controlling electromagnetic waves, enabling phenomena like negative refraction and cloaking.
  • Existing research primarily focuses on the physical properties of metamaterials, neglecting their information-theoretic aspects.
  • A gap exists in understanding metamaterials and metasurfaces from an information perspective.

Purpose of the Study:

  • To propose a novel method for measuring the information content of coding metasurfaces using Shannon entropy.
  • To establish an analytical link between the coding patterns and the far-field radiation patterns of metasurfaces.
  • To demonstrate the potential of coding metasurfaces in enhancing information transmission.

Main Methods:

  • Introduction of geometrical entropy to quantify the information within a coding pattern or sequence.
  • Introduction of physical entropy to quantify the information present in the metasurface's far-field pattern.
  • Establishment of an analytical connection between the coding pattern and the far-field pattern.

Main Results:

  • Coding metasurfaces demonstrate an enhanced capacity for transmitting information.
  • The degree of information enhancement is tunable by designing coding patterns with varying information entropies.
  • An analytical relationship between coding patterns and far-field characteristics was successfully established.

Conclusions:

  • The proposed information-theoretic framework provides a new perspective on coding metasurfaces.
  • The entropy control method offers a way to manipulate information transmission in metasurface-based systems.
  • These concepts are applicable to advanced information systems such as communication, radar, and imaging.