An X-ray fluorescence and machine learning based methodology for the direct non-destructive compositional analysis of (Th1 −xUx)O2 fuel pellets

J. Anal. At. Spectrom., 2023, Advance Article DOI: 10.1039/D3JA00158J, PaperBuddhadev Kanrar, Kaushik Sanyal, Arnab Sarkar, Rajesh V. Pai An artificial neural network based methodology for the direct non-destructive compositional analysis of (Th1 −xUx)O2 fuel pellets using the X-ray fluorescence technique by considering the U/Th M lines as the analytical line. To cite this article before page numbers are assigned, use the DOI form of citation above. The content of this RSS Feed (c) The Royal Society of Chemistry

Source: RSC - J. Anal. At. Spectrom. latest articles - July 25, 2023 Category: Chemistry Authors: Buddhadev Kanrar Source Type: research