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

What is a Mode?01:07

What is a Mode?

26.0K
The mode is one of the commonly used measures of a central tendency. It is defined as the most frequent value in a data set.
There can be more than one mode in a data set if multiple values have the same highest frequency. For instance, suppose that the Statistics exam scores of 20 students are: 50; 53; 59; 59; 63; 63; 72; 72; 72; 72; 72; 76; 78; 81; 83; 84; 84; 84; 90; 93. Here, the mode is 72, as it occurs most frequently, five times.
A data set with two modes is called bimodal. For example,...
26.0K
Ventilatory Modes01:14

Ventilatory Modes

1.5K
Mechanical ventilators are life-saving devices that support or replace spontaneous breathing. They deliver breaths to patients through varying methods known as ventilator modes. Understanding these modes is critical for healthcare providers managing patients with respiratory failure.
There are three ventilatory modes: full support, partial support, and spontaneous. These are described below.
Full Support Modes
Full support modes include controlled mechanical ventilation, continuous mandatory...
1.5K
Normal Distribution01:11

Normal Distribution

17.2K
The normal, a continuous distribution, is the most important of all the distributions. Its graph is a bell-shaped symmetrical curve, which is observed in almost all disciplines. Some of these include psychology, business, economics, the sciences, nursing, and, of course, mathematics. Some instructors may use the normal distribution to help determine students’ grades. Most IQ scores are normally distributed. Often real-estate prices fit a normal distribution. The normal distribution is...
17.2K
Normal Stress01:19

Normal Stress

1.4K
Normal stress is a type of stress that occurs when forces act perpendicular, or normal, to a material's cross-sectional area. This stress often arises in structures when subjected to axial loading, which is the application of force along the axis of an object. A practical example of this can be found in bridge truss members.
When a rod is under axial loading, the internal forces and corresponding stress are normal to the plane of the section, so it is termed normal stress. It's important to...
1.4K
Intrinsically Disordered Proteins02:18

Intrinsically Disordered Proteins

19.5K
Intrinsically disordered proteins are a group of proteins that do not fold into specific three-dimensional structures. Their structural flexibility allows them to complement ordered proteins to perform functions that are inaccessible to rigid structures. They are more common in eukaryotes than prokaryotes and may either be exclusively intrinsically disordered or hybrid proteins, consisting of a mix of ordered and disordered regions. The absence of a rigid structure in these proteins can be...
19.5K
Modes of Standing Waves - I01:03

Modes of Standing Waves - I

4.0K
A close look at earthquakes provides evidence for the conditions appropriate for resonance, standing waves, and constructive and destructive interference. A building may vibrate for several seconds with a driving frequency matching the building's natural frequency of vibration; this produces a resonance that results in one building collapsing while the neighboring buildings do not. Often, buildings of a certain height are devastated, while other taller buildings remain intact. This...
4.0K

You might also read

Related Articles

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

Sort by
Same author

Guiding waves through chaos: Universal bounds for targeted mode transport.

Science advances·2026
Same author

Ohm's law lost and regained: observation and impact of transmission and velocity zeros.

Nature communications·2024
Same author

Velocities of transmission eigenchannels and diffusion.

Nature communications·2024
Same author

Low-Complexity 3D InISAR Imaging Using a Compressive Hardware Device and a Single Receiver.

Sensors (Basel, Switzerland)·2022
Same author

Anti-reflection structure for perfect transmission through complex media.

Nature·2022
Same author

Exceptional Points of PT-Symmetric Reflectionless States in Complex Scattering Systems.

Physical review letters·2022
Same journal

Large-scale discovery and annotation of substructure patterns in mass spectrometry profiles.

Nature communications·2026
Same journal

Salmonella SopB suppresses post-transcriptionally regulated cytokine release to reduce early tissue inflammation and delay disease progression.

Nature communications·2026
Same journal

A human-specific microRNA controls the timing of excitatory synaptogenesis.

Nature communications·2026
Same journal

An HMA-like integrated domain in the wheat tandem kinase WTK4 recognises an RNase-like pathogen effector.

Nature communications·2026
Same journal

Learning regularities in noise engages both neural predictive activity and representational changes.

Nature communications·2026
Same journal

The H3K4 methyltransferase KMT2D is an essential cofactor for GATA1 at erythroid gene enhancers.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: Feb 2, 2026

High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy
10:40

High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy

Published on: June 28, 2016

8.0K

Selectively exciting quasi-normal modes in open disordered systems.

Matthieu Davy1, Azriel Z Genack2

  • 1Institut d'Electronique et de Télécommunications de Rennes, University of Rennes 1, 35042, Rennes, France.

Nature Communications
|November 11, 2018
PubMed
Summary
This summary is machine-generated.

This study demonstrates how analyzing the transmission matrix (TM) spectra allows for selective excitation of quasi-normal modes. This technique enhances energy within disordered samples, controlling wave propagation and dwell time.

More Related Videos

Low-cost Custom Fabrication and Mode-locked Operation of an All-normal-dispersion Femtosecond Fiber Laser for Multiphoton Microscopy
08:48

Low-cost Custom Fabrication and Mode-locked Operation of an All-normal-dispersion Femtosecond Fiber Laser for Multiphoton Microscopy

Published on: November 22, 2019

8.0K
Microwave Photonics Systems Based on Whispering-gallery-mode Resonators
12:18

Microwave Photonics Systems Based on Whispering-gallery-mode Resonators

Published on: August 5, 2013

17.5K

Related Experiment Videos

Last Updated: Feb 2, 2026

High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy
10:40

High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy

Published on: June 28, 2016

8.0K
Low-cost Custom Fabrication and Mode-locked Operation of an All-normal-dispersion Femtosecond Fiber Laser for Multiphoton Microscopy
08:48

Low-cost Custom Fabrication and Mode-locked Operation of an All-normal-dispersion Femtosecond Fiber Laser for Multiphoton Microscopy

Published on: November 22, 2019

8.0K
Microwave Photonics Systems Based on Whispering-gallery-mode Resonators
12:18

Microwave Photonics Systems Based on Whispering-gallery-mode Resonators

Published on: August 5, 2013

17.5K

Area of Science:

  • Wave physics
  • Disordered systems
  • Photonics and optics

Background:

  • Transmission through disordered media is typically controlled using the transmission matrix (TM).
  • The TM describes how incident waves transform upon transmission through a scattering system.
  • Exploiting the TM to control wave behavior within a medium, such as spatial profile and dwell time, remains an active area of research.

Purpose of the Study:

  • To investigate if the transmission matrix (TM) can be used to selectively excite quasi-normal modes (QNMs).
  • To explore the control of spatial profiles and dwell times of waves within disordered samples via QNM excitation.
  • To analyze the modal properties of the TM and their implications for wave energy enhancement.

Main Methods:

  • Microwave experiments were conducted to study wave transmission.
  • Numerical simulations were employed to complement experimental findings.
  • Spectral analysis of the transmission matrix was performed to identify modal properties.

Main Results:

  • The transmission matrix (TM) spectra can be decomposed into rank-unity modal transmission matrices.
  • Selective excitation of quasi-normal modes (QNMs) is achievable, enhancing energy within the sample by a factor equal to the number of channels.
  • Modal selectivity is limited by correlations in speckle patterns of adjacent modes, influenced by spectral overlap and non-orthogonality in non-Hermitian systems.

Conclusions:

  • The transmission matrix (TM) offers a pathway to control wave propagation and energy localization in disordered media by exciting quasi-normal modes (QNMs).
  • Understanding modal speckle correlations is crucial for optimizing modal selectivity and overcoming limitations in controlling wave dwell time and spatial profiles.
  • The findings have implications for manipulating wave transport in systems ranging from localized to diffusive regimes.