Prospection of pyrochlore and microlite mineral groups through Raman spectroscopy coupled with artificial neural networks

Niobium (Nb) and tantalum (Ta) concentrated in pyrochlore and microlite mineral groups, respectively, have attracted worldwide attention due to their importance to aerospace and electronics industries. This manuscript addresses the use of Raman spectroscopy coupled with artificial neural networks (A...

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Veröffentlicht in:	Journal of Raman spectroscopy 2022-11, Vol.53 (11), p.1924-1930
Hauptverfasser:	Exposito De Queiroz, Alfredo Antonio Alencar, Andrade, Marcelo B.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aerospace industry ANNs Artificial neural networks Avionics Background noise microlite Neural networks Niobium pyrochlore Pyrochlores Raman spectroscopy Spectroscopy Tantalum Topology topology architecture
Online-Zugang:	Volltext
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