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Andrew C. Tam
Researcher at IBM
Publications - 126
Citations - 5323
Andrew C. Tam is an academic researcher from IBM. The author has contributed to research in topics: Laser & Thin film. The author has an hindex of 33, co-authored 126 publications receiving 5107 citations. Previous affiliations of Andrew C. Tam include University of Konstanz.
Papers
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Journal ArticleDOI
Applications of photoacoustic sensing techniques
TL;DR: In this article, the theory and applications of photo-acoustic (also called optoacoustic) methods belonging to the more general area of photothermal measurement techniques are reviewed, covering excitation of gaseous or condensed samples with modulated continuous light beams or pulsed light beams.
Journal ArticleDOI
Pulsed optoacoustic spectroscopy of condensed matter
C. K. N. Patel,Andrew C. Tam +1 more
TL;DR: In this paper, the authors discuss the theory and experiments dealing with the pulsed optoacoustic effect (i.e., generation of a transient acoustic wave by absorption of an optical pulse) in condensed matter.
Journal ArticleDOI
Laser‐cleaning techniques for removal of surface particulates
TL;DR: In this paper, it was shown that laser cleaning with highest efficiency is achieved by choosing a laser wavelength that is strongly absorbed by the surface together with pulse depositing a water film of thickness on the order of microns on the surface momentarily before the pulsed laserirradiation.
Journal ArticleDOI
Efficient pulsed laser removal of 0.2 μm sized particles from a solid surface
TL;DR: In this article, a new and highly efficient laser cleaning method was proposed by choosing a pulsed laser with short pulse duration and a wavelength that is strongly absorbed by the surface; the removal efficiency was further enhanced by depositing a liquid film of thickness on the order of micron on the surface just before the pulsing laser irradiation.
Patent
Method and device for detecting a specific acoustic spectral feature
Wayne Isami Imaino,Andrew C. Tam +1 more
TL;DR: In this article, the authors used an electrical frequency modulated (FM) signal that is obtained from a voltage controlled oscillator to detect a narrow acoustic spectral feature in a sample as described.