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Artigo de periodico
Effects of the potassium incorporation in Fe–Ce–Zr based catalysts and activation condition in CO2 hydrogenation to C2/C3 olefins at atmospheric pressure (2024)
Lino, Ananda Vallezi Paladino ; Vieira, Luiz Henrique ; Assaf, Elisabete Moreira ; Assaf, Jose Mansur
Source: International Journal of Hydrogen Energy. Unidade: IQSC
Subjects: CATÁLISE, HIDROCARBONETOS, POTÁSSIO, GÁS CARBÔNICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINO, Ananda Vallezi Paladino et al. Effects of the potassium incorporation in Fe–Ce–Zr based catalysts and activation condition in CO2 hydrogenation to C2/C3 olefins at atmospheric pressure. International Journal of Hydrogen Energy, v. 51, p. 1122-1140, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ijhydene.2023.09.126. Acesso em: 12 nov. 2025.
APA
Lino, A. V. P., Vieira, L. H., Assaf, E. M., & Assaf, J. M. (2024). Effects of the potassium incorporation in Fe–Ce–Zr based catalysts and activation condition in CO2 hydrogenation to C2/C3 olefins at atmospheric pressure. International Journal of Hydrogen Energy, 51, 1122-1140. doi:10.1016/j.ijhydene.2023.09.126
NLM
Lino AVP, Vieira LH, Assaf EM, Assaf JM. Effects of the potassium incorporation in Fe–Ce–Zr based catalysts and activation condition in CO2 hydrogenation to C2/C3 olefins at atmospheric pressure [Internet]. International Journal of Hydrogen Energy. 2024 ; 51 1122-1140.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.ijhydene.2023.09.126
Vancouver
Lino AVP, Vieira LH, Assaf EM, Assaf JM. Effects of the potassium incorporation in Fe–Ce–Zr based catalysts and activation condition in CO2 hydrogenation to C2/C3 olefins at atmospheric pressure [Internet]. International Journal of Hydrogen Energy. 2024 ; 51 1122-1140.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.ijhydene.2023.09.126
Artigo de periodico
Microkinetic Modeling of the Methanol Electro-oxidation Reaction on Platinum (2023)
Salazar, Enrique Adalberto Paredes ; Cárdenas, Alfredo Calderón ; Varela, Hamilton
Source: ACS Catalysis. Unidades: RUSP, IQSC
Subjects: ÁLCOOL, ELETRODO, PLATINA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SALAZAR, Enrique Adalberto Paredes e CÁRDENAS, Alfredo Calderón e VARELA, Hamilton. Microkinetic Modeling of the Methanol Electro-oxidation Reaction on Platinum. ACS Catalysis, v. 13, n. 14, p. 9366–9378, 2023Tradução . . Disponível em: https://doi.org/10.1021/acscatal.3c00838. Acesso em: 12 nov. 2025.
APA
Salazar, E. A. P., Cárdenas, A. C., & Varela, H. (2023). Microkinetic Modeling of the Methanol Electro-oxidation Reaction on Platinum. ACS Catalysis, 13( 14), 9366–9378. doi:10.1021/acscatal.3c00838
NLM
Salazar EAP, Cárdenas AC, Varela H. Microkinetic Modeling of the Methanol Electro-oxidation Reaction on Platinum [Internet]. ACS Catalysis. 2023 ; 13( 14): 9366–9378.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1021/acscatal.3c00838
Vancouver
Salazar EAP, Cárdenas AC, Varela H. Microkinetic Modeling of the Methanol Electro-oxidation Reaction on Platinum [Internet]. ACS Catalysis. 2023 ; 13( 14): 9366–9378.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1021/acscatal.3c00838
Artigo de periodico
Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition (2021)
Azevedo, Luis Cesar de; Pinheiro, Gabriel A.; Quiles, Marcos G.; Silva, Juarez Lopes Ferreira da ; Prati, Ronaldo C.
Source: Journal of Chemical Information and Modeling. Unidade: IQSC
Subjects: QUÍMICA QUÂNTICA, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AZEVEDO, Luis Cesar de et al. Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition. Journal of Chemical Information and Modeling, v. 61, p. 4210−4223, 2021Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.1c00503. Acesso em: 12 nov. 2025.
APA
Azevedo, L. C. de, Pinheiro, G. A., Quiles, M. G., Silva, J. L. F. da, & Prati, R. C. (2021). Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition. Journal of Chemical Information and Modeling, 61, 4210−4223. doi:10.1021/acs.jcim.1c00503
NLM
Azevedo LC de, Pinheiro GA, Quiles MG, Silva JLF da, Prati RC. Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61 4210−4223.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1021/acs.jcim.1c00503
Vancouver
Azevedo LC de, Pinheiro GA, Quiles MG, Silva JLF da, Prati RC. Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61 4210−4223.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1021/acs.jcim.1c00503

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