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March 19, 2026Journal of Analytical Atomic Spectrometry2 citations

Task-Oriented Comparison and Fusion of Spectra and Acoustic Signals in LIBS for Alloy Analysis: From Identification to Quantitative Measurement

HCHuiping ChaiXNXuechen NiuHMHonghua Ma

Key Points

  • This research aims to enhance alloy analysis by integrating spectra and acoustic signals from LIBS.
  • Utilized laser-induced breakdown spectroscopy for elemental analysis of alloys.
  • Compared traditional spectral data with acoustic signal data.
  • Implemented machine learning techniques to fuse both data types for better accuracy.
  • Improved identification of alloy compositions compared to using spectra alone.
  • Quantitative measurements showed increased precision through data fusion.
  • Demonstrated effective utilization of acoustic signals for enhancing analysis accuracy.

Abstract

Laser-induced breakdown spectroscopy (LIBS) has been widely applied in alloy elemental analysis. However, reliance solely on spectra makes it difficult to fully capture all the information related to the laser-material...

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Cite This Study

Chai et al. (2026) studied this question.

synapsesocial.com/papers/69bb926a496e729e6297fa88https://doi.org/10.1039/d5ja00485c
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