Michael Shattan
0000-0003-2476-1253
6 papers found
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Machine learning in analytical spectroscopy for nuclear diagnostics [Invited]
Development of advanced machine learning models for analysis of plutonium surrogate optical emission spectra
Enabling orders of magnitude sensitivity improvement for quantification of Ga in a Ce matrix with a compact Echelle spectrometer
Analytical comparisons of handheld LIBS and XRF devices for rapid quantification of gallium in a plutonium surrogate matrix
Comparison of machine learning techniques to optimize the analysis of plutonium surrogate material via a portable LIBS device
Rapid quantitative analysis of trace elements in plutonium alloys using a handheld laser-induced breakdown spectroscopy (LIBS) device coupled with chemometrics and machine learning
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