Structural and morphological characterization of Y1-x Ndx Al3(BO3)4 micron-sized crystals powders obtained by the urea precipitation method and its random laser properties (2022)
- Authors:
- USP affiliated authors: CAIUT, JOSÉ MAURÍCIO ALMEIDA - FFCLRP ; HILARIO, ELOISA GARIBALDE - FFCLRP ; PUGINA, ROBERTA SILVA - FFCLRP
- Unidade: FFCLRP
- DOI: 10.1016/j.jlumin.2021.118624
- Subjects: ÍONS; LANTANÍDIOS; FOTÔNICA; FOTOLUMINESCÊNCIA
- Keywords: Lanthanide ions; Stimulated emission; Laser host
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Luminescence
- ISSN: 0022-2313
- Volume/Número/Paginação/Ano: v. 243, art. 118624, p. 1-9, 2022
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
HILARIO, Eloisa Garibalde et al. Structural and morphological characterization of Y1-x Ndx Al3(BO3)4 micron-sized crystals powders obtained by the urea precipitation method and its random laser properties. Journal of Luminescence, v. 243, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.jlumin.2021.118624. Acesso em: 02 jan. 2026. -
APA
Hilario, E. G., Pugina, R. S., Silva Neto, M. L., Maia, L. J. Q., Caiut, J. M. A., & Gomes, A. S. L. (2022). Structural and morphological characterization of Y1-x Ndx Al3(BO3)4 micron-sized crystals powders obtained by the urea precipitation method and its random laser properties. Journal of Luminescence, 243, 1-9. doi:10.1016/j.jlumin.2021.118624 -
NLM
Hilario EG, Pugina RS, Silva Neto ML, Maia LJQ, Caiut JMA, Gomes ASL. Structural and morphological characterization of Y1-x Ndx Al3(BO3)4 micron-sized crystals powders obtained by the urea precipitation method and its random laser properties [Internet]. Journal of Luminescence. 2022 ; 243 1-9.[citado 2026 jan. 02 ] Available from: https://doi.org/10.1016/j.jlumin.2021.118624 -
Vancouver
Hilario EG, Pugina RS, Silva Neto ML, Maia LJQ, Caiut JMA, Gomes ASL. Structural and morphological characterization of Y1-x Ndx Al3(BO3)4 micron-sized crystals powders obtained by the urea precipitation method and its random laser properties [Internet]. Journal of Luminescence. 2022 ; 243 1-9.[citado 2026 jan. 02 ] Available from: https://doi.org/10.1016/j.jlumin.2021.118624 - Towards accurate real-time luminescence thermometry: an automated machine learning approach
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Informações sobre o DOI: 10.1016/j.jlumin.2021.118624 (Fonte: oaDOI API)
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