Machine Learning Coupled Laser-induced Breakdown Self-reversal Isotopic Spectrometry for Determining Lithium Isotope Concentration

Authors

• Madison R. Moran, Air Force Institute of Technology
• Ashwin P. Rao, Air Force Research Laboratory
• Anil K. Patnaik, Air Force Institute of TechnologyFollow

Document Type

Article

Publication Date

5-13-2025

Abstract

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 ± 1.21 pm in LiOH∙H₂O ⁶Li samples varying from 3 to 95 Li 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.%.
Abstract © Optica.

Comments

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This article is part of the Applied Optics Institutional Focus Issue of Applied Optics, Air Force Institute of Technology

DOI

10.1364/AO.555986

Source Publication

Applied Optics (ISSN 1559-128X | eISSN 2155-3165)

Recommended Citation

Madison R. Moran, Ashwin P. Rao, and Anil K. Patnaik, "Machine learning coupled laser-induced breakdown self-reversal isotopic spectrometry for determining lithium isotope concentration," Appl. Opt. 64, E119-E128 (2025)