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Updated: Sep 11, 2025

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy
Published on: June 10, 2019
Machine learning coupled laser-induced breakdown self-reversal isotopic spectrometry for determining lithium isotope
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Laser-induced breakdown self-reversal isotopic spectrometry (LIBRIS) is implemented to record the Li 670.8 nm peak self-reversal shift with varying 6Li atom percent compared to 7Li. The self-reversed peak center wavelength is shown to shift across a range of 13.813±1.21pm in LiOH⋅H2O6Li samples varying from 3 to 95 6Li atom percent. Supervised machine-learning regressions are trained on the self-reversal shift in order to quantify the isotopic concentration of the samples. A stacked ensemble model using multiple supervised regression base learners is found to yield the superlative characterization of isotopic content with an RMSE of 5.66 at.% and a detection limit of 18.8 at.%.
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