Implementation of an artificial neural network in the identification of the Mössbauer spectral shape of hematite and magnetite
Author:
Publisher
Springer Science and Business Media LLC
Subject
Physical and Theoretical Chemistry,Condensed Matter Physics,Nuclear and High Energy Physics,Atomic and Molecular Physics, and Optics
Link
https://link.springer.com/content/pdf/10.1007/s10751-023-01821-w.pdf
Reference11 articles.
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2. de Souza, P.A.J., Lamego, M. M., Garg, V.K.: Applications of Fuzzy logic in the analysis of 57Fe Mössbauer spectra. In: Proc. 39th Midwest Symposium on Circuits and Systems. Ames, Iowa (1996). https://doi.org/10.1109/MWSCAS.1996.587781
3. Kubaniova, D., Kubickova, L., Kmjec, T., Zaveta, K., Niznansky, D., Brazda, P., Klementova, M., Kohout, J.: Hematite: Morin temperature of nanoparticles with different size. J. Magn. Magn. Mater. 475, 611–619 (2019)
4. Berry, F.J., Skinner, S., Thomas, M.F.: 57Fe Mössbauer spectroscopic examination of a single crystal of Fe3O4. J. Phys.: Condens. Matter. 10, 215 (1998)
5. Houston, J., Glavin, F.G., Madden, M.G.: Robust classification of high-dimensional spectroscopy data using deep learning and data synthesis. J. Chem. Inf. Model. 60, 1936–1954 (2020). https://doi.org/10.1021/acs.jcim.9b01037
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