SCHEDULED MAINTENANCE:
Data fusion of laser-induced breakdown spectroscopy and diffuse reflectance spectroscopy for improved quantitative analysis of EAST-like plasma-facing materials
A novel LIBS-DRS data fusion model was developed to provide more accurate quantification of tungsten impurities deposited on tokamak first walls.
LIBS combined with TrAdaBoost based transfer learning for quantitative analysis of heavy metals in soil particles
In this study, a rapid quantitative method combining LIBS with transfer learning is proposed, effectively improving the accuracy of in situ and online analysis of heavy metals in soil particulate samples.
Research on spectroscopy screening methods based on optical computation using laser-induced breakdown spectroscopy
The proposed computational screening method effectively reduces the impact caused by spectral interference and overlap issues during the analysis of manganese ore. This improvement enhances the accuracy of quantitative analysis.
About this collection
This themed collection features articles published in JAAS marked as HOT by the handling editor or as recommended by referees. Congratulations to all the authors whose articles are featured.