Analysis of lithium aging using machine learning-enhanced spectroscopy techniques

Authors

James T. Stofel, Air Force Institute of Technology
Ashwin P. Rao, Air Force Research LaboratoryFollow
Anil K. Patnaik, Air Force Institute of TechnologyFollow
Andrew V. Griminaro, Air Force Technical Applications Center
Michael B. Shattan, National Nuclear Security AdministrationFollow

Document Type

Article

Publication Date

3-5-2024

Abstract

Excerpt: Lithium compounds such as lithium hydride (LiH) and lithium hydroxide (LiOH) have a wide range of industrial applications, but are highly reactive in environments with H₂O and CO₂. These reactions lead to the ingrowth of secondary lithium compounds, which can alter the homogeneity and affect the application of particular lithium chemicals. This study performed an exploratory analysis of different lithium compounds using laser-induced breakdown spectroscopy (LIBS) and Raman spectroscopy.

Comments

This article appears in volume 78 of Applied Spectroscopy, and is accessible by subscription through the DOI link below. (Issue date August 2024).

DOI

10.1177/00037028241235679

Source Publication

Applied Spectroscopy (ISSN 0003-7028 | e-ISSN 1943-3530)

Recommended Citation

Stofel, J. T., Rao, A. P., Patnaik, A. K., Giminaro, A. V., & Shattan, M. B. (2024). Analysis of lithium aging using machine learning-enhanced spectroscopy techniques. Applied Spectroscopy, 78(8), 00037028241235679. https://doi.org/10.1177/00037028241235679