R
Richard E. Russo
Researcher at Lawrence Berkeley National Laboratory
Publications - 356
Citations - 25674
Richard E. Russo is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Laser & Laser ablation. The author has an hindex of 62, co-authored 352 publications receiving 24343 citations. Previous affiliations of Richard E. Russo include Indiana University & University of California.
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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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Experimental and theoretical studies of particle generation after laser ablation of copper with a background gas at atmospheric pressure
TL;DR: In this paper, a series of time resolved light scattering images was recorded and analyzed to understand the in situ condensation process, and significant changes in the condensation rate and the shape of the condensed aerosol plume were observed in two background gases, helium and argon.
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Time resolved laser-induced plasma dynamics
TL;DR: In this paper, the structure and evolution of the laser-induced vapor plume and shockwave were measured from femtosecond time resolved shadowgraph images by changing the wavelength of the probe beam (400 and 800 nm).
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Multiple emission line analysis for improved isotopic determination of uranium — a computer simulation study
George C.-Y. Chan,Xianglei Mao,Inhee Choi,Arnab Sarkar,Arnab Sarkar,Oanh P. Lam,David K. Shuh,Richard E. Russo +7 more
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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Evaluation of the prediction precision capability of partial least squares regression approach for analysis of high alloy steel by laser induced breakdown spectroscopy
Arnab Sarkar,V. Karki,Suresh K. Aggarwal,Gulab Singh Maurya,Rohit Kumar,Awadhesh Kumar Rai,Xianglei Mao,Richard E. Russo +7 more
TL;DR: In this paper, the effect of different pre-treatment procedures on the raw spectral data before PLSR analysis was evaluated based on several statistical (standard error, percentage relative error of prediction etc.) parameters.