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Acoustic processes in materials

Published online by Cambridge University Press:  09 May 2019

Leonid V. Zhigilei
Affiliation:
Department of Materials Science and Engineering, University of Virginia, USA; lz2n@virginia.edu
Henry Helvajian
Affiliation:
Physical Sciences Laboratories, The Aerospace Corporation, USA; henry.helvajian@aero.org

Abstract

The coupling of acoustic energy with materials structures and processes is at the core of such current and emerging application areas as ultrasound-enabled materials characterization, structuring, and processing. High concentration of acoustic energy, such as upon the collapse of a cavitation bubble, has been shown to provide conditions for the synthesis of unusual material phases and structures, while intriguing reports on acoustic activation of surface diffusion, desorption, and catalysis hold high promise for applications where heating must be avoided or rapid switching of surface conditions is required. Some of the recent scientific and technical advances in the general area of acoustically enabled materials synthesis, processing, and characterization are reviewed in this issue of MRS Bulletin. Additional discussion of experimental data and computational results providing insights into the fundamental mechanisms and channels of the acoustic energy coupling to atomic-scale surface features and adsorbates is also provided in this article.

Information

Type
Acoustic Processes in Materials
Copyright
Copyright © Materials Research Society 2019 
Figure 0

Figure 1. Schematic representation of atomic-scale surface processes (diffusion, desorption, and chemical reactions) that can be activated by surface or bulk acoustic waves generated through optical excitation.

Figure 1

Figure 2. Acoustic activation of surface diffusion of small atomic clusters by surface acoustic waves (SAWs) (a) observed experimentally, and (b) predicted in a series of large-scale molecular dynamics simulations. The acoustic activation of surface diffusion is related to the (c) formation of a shock front and (d) generation of high-frequency harmonics capable of direct energy transfer to the clusters adsorbed on the surface. The plot in (a) shows the evolution of mean square displacement (MSD) of individual Au8 clusters moving on a (111) silicon substrate as a result of thermally activated diffusion (no SAWs, red circles) and SAW-assisted diffusion in regions located 6-mm (blue rhombus) and 12-mm (black squares) from the SAW source. The plot in (b) shows the evolution of the cluster diffusion coefficient with time of SAW propagation, with the equivalent scale of the effective temperature, Teff, which would yield the corresponding diffusion coefficients by thermal activation shown on the right side of the plot. The inset in (b) depicts a schematic representation of the computational system colored by an instantaneous pressure distribution produced by an initial sinusoidal SAW, where the color varies from red (compression) to blue (tension). (c, d) (Left to right) The temporal evolution of the SAW profile and corresponding harmonics in the wave spectrum predicted in the simulations. Lennard-Jones units are used in (b–d).11 Note: D, diffusion coefficient; kB, the Boltzmann constant; T, temperature of the substrate; v, frequency; τ, ε unit of time; σ, energy and length parameters of Lennard–Jones potential.