Immediate traceability of ash based on laser-induced breakdown spectroscopy and machine learning

IF 1.1 4区化学 Q3 SPECTROSCOPY Spectroscopy Letters Pub Date : 2024-05-02 DOI:10.1080/00387010.2024.2347482

Yuyao Cai, Enlai Wan, Jinzhu Cai, Xinyang Zhang, Yanpeng Ye, Yijun Yin, Yuzhu Liu

引用次数: 0

Abstract

This article reports on an advanced level physical laboratory experiment designed for college level undergraduate education and for scholars who need specialized training on using and interpreting ...

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基于激光诱导击穿光谱和机器学习的灰分即时溯源技术

本文报告了一个高级物理实验室实验，该实验专为大学本科教育以及需要在使用和解释...

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来源期刊

Spectroscopy Letters 物理-光谱学

CiteScore

2.90

自引率

5.90%

发文量

审稿时长

1.3 months

期刊介绍： Spectroscopy Letters provides vital coverage of all types of spectroscopy across all the disciplines where they are used—including novel work in fundamental spectroscopy, applications, diagnostics and instrumentation. The audience is intended to be all practicing spectroscopists across all scientific (and some engineering) disciplines, including: physics, chemistry, biology, instrumentation science, and pharmaceutical science.

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