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      Thickness Resonance Acoustic Microscopy for Nanomechanical Subsurface Imaging.

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          Abstract

          A nondestructive scanning near-field thickness resonance acoustic microscopy (SNTRAM) has been developed that provides high-resolution mechanical depth sensitivity and sharp phase contrast of subsurface features. In SNTRAM technology, we excited the sample at its thickness resonance, at which a sharp change in phase is observed and mapped with a scanning probe microscopy stage in near field to provide nanometer-scale nanomechanical contrast of subsurface features/defects. We reported here the remarkable subsubsurface phase contrast and sensitivity of SNTRAM by exciting the sample with a sinusoidal elastic wave at a frequency equal to the thickness resonance of the sample. This results in a large shift in phase component associated with the bulk longitudinal wave propagating through the sample thickness, thus suggesting the usefulness of this method for (a) generating better image contrast due to high S/N of the transmitted ultrasound wave to the other side of the sample and (b) sensitive detection of local variation in material properties at much better resolution due to the sharp change in phase. We demonstrated that the sample excited at the thickness resonance has a more substantial phase contrast and depth sensitivity than that excited at off-resonance and related acoustic techniques. Subsurface features down to 5-8 nm lateral resolution have been demonstrated using a standard sample.

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          Author and article information

          Journal
          ACS Nano
          ACS nano
          American Chemical Society (ACS)
          1936-086X
          1936-0851
          May 22 2017
          Affiliations
          [1 ] Systron Donner Inertial , 2700 Systron Drive, Concord, California 94518, United States.
          Article
          10.1021/acsnano.7b02170
          28514593
          e9afebaf-b854-4623-ae71-3efb1ebaf263
          History

          acoustic microscopy,contact resonance,nanomechanical imaging,sample thickness resonance,scanning near-field detection,subsurface imaging

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