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

Interference and Diffraction02:18

Interference and Diffraction

Interference is a characteristic phenomenon exhibited by waves. When two electromagnetic waves interact with their peaks and troughs coinciding, a resulting wave with enhanced amplitude is produced. This is known as constructive interference. In this case, the two waves interacting are in phase with each other.
X-ray Crystallography02:18

X-ray Crystallography

The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
Diffraction
Diffraction is the change in the direction of travel experienced by an electromagnetic wave when it encounters a physical barrier whose dimensions are comparable to those of the wavelength of the light. X-rays are electromagnetic radiation with wavelengths about as long as the distance between neighboring...
Determination of Crystal Structures01:29

Determination of Crystal Structures

In the late 1800s, the revelation that light extended beyond visible wavelengths led to the discovery of X-rays by Wilhelm Roentgen. Recognized as high-energy electromagnetic radiation with short wavelengths, X-rays prompted exploration into their interaction with crystals. Max von Laue proposed in 1912 that the periodic arrangement of atoms, ions, or molecules in crystals would cause them to diffract X-rays, a hypothesis confirmed through experiments with copper sulfate and zinc sulfide...
X-ray Diffraction of Biological Samples01:10

X-ray Diffraction of Biological Samples

X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are  scattered by the electron clouds around the sample atoms. The  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal crystal...

You might also read

Related Articles

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

Sort by
Same author

Common-mode control and confinement inversion of electrostatically defined quantum dots in a commercial CMOS process.

Scientific reports·2025
Same author

Retraction notice to "Modulation of immune cum inflammatory pathway by earthworm granulation tissue extract in wound healing of diabetic rabbit model" [Heliyon 10 (2024) e24909].

Heliyon·2025
Same author

Influence of Periodically Varying Slit Widths on Sound Absorption by a Slit Pore Medium.

Materials (Basel, Switzerland)·2025
Same author

Phase and group speeds of airborne surface waves over porous layers and periodically rough hard surfaces.

The Journal of the Acoustical Society of America·2024
Same author

Modulation of immune cum inflammatory pathway by earthworm granulation tissue extract in wound healing of diabetic rabbit model.

Heliyon·2024
Same author

Modal model prediction of surface waves and resonant characteristics of rectangular grooved gratings.

The Journal of the Acoustical Society of America·2023
Same journal

Interaction of near-wall bubble arrays with acoustic waves induced by an oscillating rigid wall.

The Journal of the Acoustical Society of America·2026
Same journal

Ultra-broadband underwater acoustic projector based on transverse resonance orthogonal beam (TROB) mode and acoustic matching layer technique.

The Journal of the Acoustical Society of America·2026
Same journal

Fine-scale quantitative analysis of bowhead whale (Balaena mysticetus) song shows varying stability of song types.

The Journal of the Acoustical Society of America·2026
Same journal

High-resolution depth estimation for multiple wideband sources in deep sea via sparse Bayesian learninga).

The Journal of the Acoustical Society of America·2026
Same journal

Depression markers in speech: An approach based on tract variables dynamics.

The Journal of the Acoustical Society of America·2026
Same journal

The oyster toadfish (Opsanus tau) alters active and diurnal calling amid vessel noise in New York City.

The Journal of the Acoustical Society of America·2026
See all related articles

Related Experiment Video

Updated: May 13, 2026

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation
06:49

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

Published on: March 2, 2021

Diffraction assisted rough ground effect: models and data.

Imran Bashir1, Shahram Taherzadeh, Keith Attenborough

  • 1Department of Design, Development, Environment and Materials, The Open University, Milton Keynes, MK7 6AA, United Kingdom. imran.bashir@open.ac.uk

The Journal of the Acoustical Society of America
|March 8, 2013
PubMed
Summary
This summary is machine-generated.

Destructive interferences in Excess Attenuation (EA) spectra are influenced by roughness spacing and profiles. Periodic roughness creates more interference maxima than random roughness, affecting surface wave characteristics.

More Related Videos

Fourier-Based Diffraction Analysis of Live Caenorhabditis elegans
08:24

Fourier-Based Diffraction Analysis of Live Caenorhabditis elegans

Published on: September 13, 2017

Characterization of Ultra-fine Grained and Nanocrystalline Materials Using Transmission Kikuchi Diffraction
09:13

Characterization of Ultra-fine Grained and Nanocrystalline Materials Using Transmission Kikuchi Diffraction

Published on: April 1, 2017

Related Experiment Videos

Last Updated: May 13, 2026

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation
06:49

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

Published on: March 2, 2021

Fourier-Based Diffraction Analysis of Live Caenorhabditis elegans
08:24

Fourier-Based Diffraction Analysis of Live Caenorhabditis elegans

Published on: September 13, 2017

Characterization of Ultra-fine Grained and Nanocrystalline Materials Using Transmission Kikuchi Diffraction
09:13

Characterization of Ultra-fine Grained and Nanocrystalline Materials Using Transmission Kikuchi Diffraction

Published on: April 1, 2017

Area of Science:

  • Acoustics
  • Surface Physics
  • Wave Phenomena

Background:

  • Excess Attenuation (EA) spectra reveal destructive interferences caused by surface roughness.
  • Roughness characteristics, including spacing and cross-sectional profiles, significantly impact wave propagation.

Purpose of the Study:

  • Investigate destructive interferences in EA spectra over various roughness types.
  • Analyze roughness-induced surface waves and their dependencies.
  • Develop and validate models for predicting EA spectra over rough surfaces.

Main Methods:

  • Comparative analysis of EA spectra for periodically and randomly spaced roughness (semicylindrical, rectangular, wedge-shaped).
  • Investigation of roughness-induced surface wave amplitudes and frequencies.
  • Application of semianalytical Multiple Scattering Theory and numerical Boundary Element Method (BEM).

Main Results:

  • Periodic roughness yields more destructive interference maxima than random roughness.
  • Surface wave characteristics depend on roughness height, spacing, and periodicity.
  • Effective surface impedance spectra over rough surfaces show resonances similar to porous layers.

Conclusions:

  • Roughness periodicity and profile critically influence wave interference patterns.
  • A heuristic effective impedance model for rough surfaces was developed and validated against data.
  • Understanding these phenomena is crucial for controlling acoustic wave interactions with surfaces.