Surface waves in an anisotropic elastic material can be classified according to the number of distinct eigenvalues and the number of independent eigenvectors of the 6 x 6 real matrix N(u). There are six groups under this classification. Surface waves can also be classified according to the number of
Spatiotemporal mapping of surface acoustic waves in isotropic and anisotropic materials
โ Scribed by Y. Sugawara; O.B. Wright; O. Matsuda; V.E. Gusev
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 542 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0041-624X
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โฆ Synopsis
We demonstrate a new method for a real-time imaging of surface acoustic waves at frequencies up to 1 GHz with picosecond temporal and micron spatial resolutions using an ultrafast optical pump and probe technique combined with a common path interferometer. Using samples with isotropic or anisotropic substrates coated with metallic thin films, we observe the propagation of Rayleigh-like modes and surface-skimming bulk modes as well as resolving surface phonon focusing effects. In addition we image surface acoustic wave propagation in a laterally inhomogeneous sample.
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