Khan, Latif Ullah 
; Khan, Zahid Ullah ; Blois, Lucca ; Tabassam, Lubna ; Brito, Hermi Felinto de ; Figueroa, Santiago J A
Source: Inorganic Chemistry. Unidade: IQ
Subjects: RAIOS X, LUMINESCÊNCIA
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KHAN, Latif Ullah et al. Strategy to probe the local atomic structure of luminescent rare earth complexes by X-ray absorption near-edge spectroscopy simulation using a machine learning-based PyFitIt approach. Inorganic Chemistry, v. 62, p. 2738−2750, 2023Tradução . . Disponível em: https://doi.org/10.1021/acs.inorgchem.2c03850. Acesso em: 07 jun. 2024.APA
Khan, L. U., Khan, Z. U., Blois, L., Tabassam, L., Brito, H. F. de, & Figueroa, S. J. A. (2023). Strategy to probe the local atomic structure of luminescent rare earth complexes by X-ray absorption near-edge spectroscopy simulation using a machine learning-based PyFitIt approach. Inorganic Chemistry, 62, 2738−2750. doi:10.1021/acs.inorgchem.2c03850NLM
Khan LU, Khan ZU, Blois L, Tabassam L, Brito HF de, Figueroa SJA. Strategy to probe the local atomic structure of luminescent rare earth complexes by X-ray absorption near-edge spectroscopy simulation using a machine learning-based PyFitIt approach [Internet]. Inorganic Chemistry. 2023 ; 62 2738−2750.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1021/acs.inorgchem.2c03850Vancouver
Khan LU, Khan ZU, Blois L, Tabassam L, Brito HF de, Figueroa SJA. Strategy to probe the local atomic structure of luminescent rare earth complexes by X-ray absorption near-edge spectroscopy simulation using a machine learning-based PyFitIt approach [Internet]. Inorganic Chemistry. 2023 ; 62 2738−2750.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1021/acs.inorgchem.2c03850
