Get the Basics Right: Jacobian Conversion of Wavelength and Energy Scales for Quantitative Analysis of Emission Spectra (vol 4, pg 3316, 2013)

Summary: An experimental study on laser-produced plasmas using different wavelengths of pulsed lasers found that plasma driven by 2-micrometer lasers has higher energy conversion efficiency within a wavelength range relevant for industrial applications. The findings provide insights into the factors affecting efficient extreme ultraviolet (EUV) generation and conversion efficiency.

Summary: This study explores the application of ensemble learning method in the quantitative analysis of organic infrared spectra, and the influence of characteristic wavelength selection method on modeling efficiency and prediction accuracy of infrared spectra ensemble learning. The results show that compared with traditional quantitative regression methods, ensemble learning methods can significantly improve modeling efficiency and prediction accuracy, providing methodological support for further research on the application of machine learning in spectral quantitative analysis.