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George C.-Y. Chan

Researcher at Lawrence Berkeley National Laboratory

Publications -  36
Citations -  714

George C.-Y. Chan is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Laser ablation & Laser. The author has an hindex of 15, co-authored 36 publications receiving 576 citations. Previous affiliations of George C.-Y. Chan include University of Hong Kong.

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Elucidation of C2 and CN formation mechanisms in laser-induced plasmas through correlation analysis of carbon isotopic ratio

TL;DR: In this article, a comparison of the experimental observed isotopic patterns in the molecular emission with the theoretical statistical pattern was made to clarify the formation mechanisms of C2 and CN molecules during laser ablation of organic materials.
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Investigation of matrix effects in inductively coupled plasma-atomic emission spectroscopy using laser ablation and solution nebulization - Effect of second ionization potential

TL;DR: In this paper, a new kind of matrix interference was found in inductively coupled plasma (ICP)-atomic emission spectrometry using both laser ablation and solution nebulization as sample introduction techniques.
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Multiple emission line analysis for improved isotopic determination of uranium — a computer simulation study

TL;DR: In this article, the authors used laser induced breakdown spectroscopy (LIBS) to simulate isotopic analysis of a single U line and found that analytical performance primarily depended on the signal-to-background ratio (SBR) and net intensity of the emission line.
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Plasma-related matrix effects in inductively coupled plasma - Atomic emission spectrometry by group I and group II matrix-elements

TL;DR: In this article, the effects of Na, K, Ca and Ba matrices on the plasma excitation conditions in inductively coupled plasma-atomic emission spectrometry (ICP-AES) were studied.
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Laser ablation molecular isotopic spectrometry of water for 1D2/1H1 ratio analysis

TL;DR: In this article, a multivariate PLSR (Partial Least Squares Regression) based calibrations were carried out and validated using multiple statistical parameters using two spectrometers having two orders of magnitude difference in spectral resolution.