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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: 17 out. 2024.
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 2024 out. 17 ] 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 2024 out. 17 ] Available from: https://doi.org/10.1021/acscatal.3c00838
Artigo de periodico
Electrochemical mass spectrometry study of the pyridine/pyridinium in the CO2 electroreduction reaction on copper electrodes (2022)
Messias, Igor; Pinto, Maria R.; Roveda Junior, Antonio Carlos ; Queiroz, Adriana C.; Lima, Fabio Henrique Barros de ; Nagao, Raphael
Source: Electrochimica Acta. Unidade: IQSC
Subjects: ESPECTROMETRIA DE MASSAS, ELETROCATÁLISE, ELETROQUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MESSIAS, Igor et al. Electrochemical mass spectrometry study of the pyridine/pyridinium in the CO2 electroreduction reaction on copper electrodes. Electrochimica Acta, v. 436, p. 141445, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.electacta.2022.141445. Acesso em: 17 out. 2024.
APA
Messias, I., Pinto, M. R., Roveda Junior, A. C., Queiroz, A. C., Lima, F. H. B. de, & Nagao, R. (2022). Electrochemical mass spectrometry study of the pyridine/pyridinium in the CO2 electroreduction reaction on copper electrodes. Electrochimica Acta, 436, 141445. doi:10.1016/j.electacta.2022.141445
NLM
Messias I, Pinto MR, Roveda Junior AC, Queiroz AC, Lima FHB de, Nagao R. Electrochemical mass spectrometry study of the pyridine/pyridinium in the CO2 electroreduction reaction on copper electrodes [Internet]. Electrochimica Acta. 2022 ;436 141445.[citado 2024 out. 17 ] Available from: https://doi.org/10.1016/j.electacta.2022.141445
Vancouver
Messias I, Pinto MR, Roveda Junior AC, Queiroz AC, Lima FHB de, Nagao R. Electrochemical mass spectrometry study of the pyridine/pyridinium in the CO2 electroreduction reaction on copper electrodes [Internet]. Electrochimica Acta. 2022 ;436 141445.[citado 2024 out. 17 ] Available from: https://doi.org/10.1016/j.electacta.2022.141445
Trabalho de evento
The impact of low-cost molecular geometry optimization in property prediction via graph neural network (2022)
Pinheiro, Gabriel A ; Calderan, Felipe V ; Silva, Juarez Lopes Ferreira da ; Quiles, Marcos Gonçalves
Source: Book of Abstracts. Conference titles: IEEE International Conference on Machine Learning and Applications (ICMLA). Unidade: IQSC
Subjects: ESTRUTURA MOLECULAR (QUÍMICA TEÓRICA), REDES NEURAIS, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINHEIRO, Gabriel A et al. The impact of low-cost molecular geometry optimization in property prediction via graph neural network. 2022, Anais.. Nassau: Instituto de Química de São Carlos, Universidade de São Paulo, 2022. p. 603-608. Disponível em: https://doi.org/10.1109/ICMLA55696.2022.00092. Acesso em: 17 out. 2024.
APA
Pinheiro, G. A., Calderan, F. V., Silva, J. L. F. da, & Quiles, M. G. (2022). The impact of low-cost molecular geometry optimization in property prediction via graph neural network. In Book of Abstracts (p. 603-608). Nassau: Instituto de Química de São Carlos, Universidade de São Paulo. doi:10.1109/ICMLA55696.2022.00092
NLM
Pinheiro GA, Calderan FV, Silva JLF da, Quiles MG. The impact of low-cost molecular geometry optimization in property prediction via graph neural network [Internet]. Book of Abstracts. 2022 ; 603-608.[citado 2024 out. 17 ] Available from: https://doi.org/10.1109/ICMLA55696.2022.00092
Vancouver
Pinheiro GA, Calderan FV, Silva JLF da, Quiles MG. The impact of low-cost molecular geometry optimization in property prediction via graph neural network [Internet]. Book of Abstracts. 2022 ; 603-608.[citado 2024 out. 17 ] Available from: https://doi.org/10.1109/ICMLA55696.2022.00092
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: 17 out. 2024.
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 2024 out. 17 ] 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 2024 out. 17 ] Available from: https://doi.org/10.1021/acs.jcim.1c00503

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