A new method for cross-calibration between LIBS systems based on a domain adaptive fully connected network-Reference-Cited by-同舟云学术

A new method for cross-calibration between LIBS systems based on a domain adaptive fully connected network

Published:2024 Issue: Volume: Page:
ISSN:0267-9477
Container-title:Journal of Analytical Atomic Spectrometry
language:en
Short-container-title:J. Anal. At. Spectrom.

Author:

Wang Xiaoyu¹^ORCID,Liu Changqing¹,Liu Ping¹,Ling Zongcheng¹

Affiliation:

1. Shandong Key Laboratory of Optical Astronomy and Solar-Terrestrial Environment, School of Space Science and Physics, Institute of Space Sciences, Shandong University, Weihai, Shandong, 264209, China

Abstract

This paper proposes a domain-adaptive fully connected neural network (DADNN) that is capable of transferring prior knowledge between ChemCam and SDU-LIBS.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

China Postdoctoral Science Foundation

China National Space Administration

Publisher

Royal Society of Chemistry (RSC)

Subject

Spectroscopy,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2024/JA/D3JA00359K

Reference46 articles.

1. Laser-Induced Breakdown Spectroscopy (LIBS), Part I: Review of Basic Diagnostics and Plasma—Particle Interactions: Still-Challenging Issues within the Analytical Plasma Community

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3. Methodologies for laboratory Laser Induced Breakdown Spectroscopy semi-quantitative and quantitative analysis—A review

4. Laser-induced breakdown spectroscopy with artificial neural network processing for material identification

5. Standoff femtosecond filament-induced breakdown spectroscopy for classification of geological materials