Related Experiment Video
Updated: Mar 14, 2026

08:39
Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
Published on: January 28, 2019
10.5K
Acoustic Pancharatnam-Berry geometric phase for structured sound manipulation
Wanyue Xiao1, Wenjian Kuang2, Sibo Huang3,4
1Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong, China.
Summary
Researchers demonstrate the elusive geometric phase (Pancharatnam-Berry phase) in acoustics. This breakthrough enables novel acoustic metasurfaces and devices for advanced sound manipulation and applications.
Area of Science:
- Acoustics and Wave Physics
- Metamaterials and Nanophotonics
- Geometric Phase Phenomena
Background:
- Phase control is crucial for manipulating acoustic waves, with propagation and resonant phases commonly utilized.
- The real-space geometric phase, or Pancharatnam-Berry (PB) phase, has been difficult to achieve in acoustics due to the nature of airborne sound waves.
Purpose of the Study:
- To theoretically and experimentally demonstrate the emergence of the PB phase in inhomogeneous sound waves.
- To explore the Janus property of the PB phase and its application in acoustic metasurfaces for wavefront manipulation.
- To extend this mechanism to free-space structured sound for applications like acoustic q-plates.
Main Methods:
- Theoretical modeling of inhomogeneous sound waves with evolving velocity fields.
- Experimental realization using surface sound waves to demonstrate the PB phase and its Janus property.
- Fabrication and testing of acoustic Pancharatnam-Berry metasurfaces and acoustic q-plates.
Main Results:
- Successful demonstration of the PB phase in acoustic systems through polarization evolution of the velocity field.
- Uncovered the Janus property of the acoustic PB phase due to spin-momentum locking.
- Developed acoustic PB metasurfaces for versatile wavefront manipulation and acoustic q-plates for vortex topological charge conversion.
Conclusions:
- This work introduces a novel type of acoustic phase, the geometric phase (PB phase), into acoustics.
- A simple and effective mechanism for structured sound manipulation using acoustic PB metasurfaces and q-plates has been established.
- The findings hold significant promise for advancements in acoustic communications, imaging, and on-chip devices.
More Related Videos
Related Concept Videos
Interference: Path Lengths
2.4K
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
2.4K
Properties of Fourier series II
693
Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
A function f(t) is...
A function f(t) is...
693
Phase Changes
5.5K
Phase transitions play an important theoretical and practical role in the study of heat flow. In melting or fusion, a solid turns into a liquid; the opposite process is freezing. In evaporation, a liquid turns into a gas; the opposite process is condensation.
A substance melts or freezes at a temperature called its melting point and boils or condenses at its boiling point. These temperatures depend on pressure. High pressure favors the denser form of the substance, so typically, high pressure...
A substance melts or freezes at a temperature called its melting point and boils or condenses at its boiling point. These temperatures depend on pressure. High pressure favors the denser form of the substance, so typically, high pressure...
5.5K
Phasor Arithmetics
928
Phasors and their corresponding sinusoids are interrelated, offering unique insights into the behavior of alternating current (AC) circuits. One way to understand this relationship is through the operations of differentiation and integration in both the time and phasor domains.
When the derivative of a sinusoid is taken in the time domain, it transforms into its corresponding phasor multiplied by j-omega (jω) in the phasor domain, where j is the imaginary unit, and ω is the angular...
When the derivative of a sinusoid is taken in the time domain, it transforms into its corresponding phasor multiplied by j-omega (jω) in the phasor domain, where j is the imaginary unit, and ω is the angular...
928
Sound Waves: Interference
5.0K
Sound waves can be modeled either as longitudinal waves, wherein the molecules of the medium oscillate around an equilibrium position, or as pressure waves. When two identical waves from the same source superimpose on each other, the combination of two crests or two troughs results in amplitude reinforcement known as constructive interference. If two identical waves, that are initially in phase, become out of phase because of different path lengths, the combination of crests with troughs...
5.0K
Parseval's Theorem for Fourier transform
2.4K
Parseval's theorem is a fundamental principle in signal processing that enables the calculation of a signal's energy in either the time domain or the frequency domain. This theorem is pivotal in demonstrating energy conservation between these two domains, ensuring that the computed energy value remains consistent regardless of the domain of analysis.
To understand Parseval's theorem, it is essential to first comprehend how signal energy is typically calculated. When considering a...
To understand Parseval's theorem, it is essential to first comprehend how signal energy is typically calculated. When considering a...
2.4K

