Specimen Variation Effects on XRF Analysis by the Monte Carlo Method: Thicknesses, Densities and Particle Sizes

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ISSN Print: 2327-4352
ISSN Online: 2327-4379
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"Specimen Variation Effects on XRF Analysis by the Monte Carlo Method: Thicknesses, Densities and Particle Sizes"
written by Hefan Liu, Chengwei Lu, Zihang Zhou, Fengxia Huang, Xiang Hu,
published by Journal of Applied Mathematics and Physics, Vol.6 No.4, 2018

has been cited by the following article(s):

[1]	Advancing the Application of pXRF for Biological Samples
	bioRxiv, 2024

[2]	Heavy metal content prediction based on Random Forest and Sparrow Search Algorithm
	Journal of …, 2022

[3]	Development catalytic properties of sustainable copper from ferrite process by using phase transfer reaction
	The Journal of Industrial Technology : Suan Sunandha Rajabhat University, 2020

[1]	Preparación de muestras sólidas para el análisis por fluorescencia de rayos X: una revisión Revista Colombiana de Química, 2024 DOI:10.15446/rev.colomb.quim.v52n3.111499

[2]	Advancing the application of pXRF for animal samples PLOS ONE, 2024 DOI:10.1371/journal.pone.0297830

[3]	Heavy metal content prediction based on Random Forest and Sparrow Search Algorithm Journal of Chemometrics, 2022 DOI:10.1002/cem.3445

[4]	Heavy metal content prediction based on Random Forest and Sparrow Search Algorithm Journal of Chemometrics, 2022 DOI:10.1002/cem.3445

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