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Artigo de periodico
Ab initio investigation of the role of the d-states occupation on the adsorption properties of H2, CO, CH4 and CH3OH on the Fe13, Co13, Ni13 and Cu13 clusters (2021)
Sousa, Priscilla Felício; Andriani, Karla Furtado ; Silva, Juarez Lopes Ferreira da
Fonte: Physical Chemistry Chemical Physics. Unidade: IQSC
Assuntos: ADSORÇÃO, QUÍMICA TEÓRICA
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ABNT
SOUSA, Priscilla Felício e ANDRIANI, Karla Furtado e SILVA, Juarez Lopes Ferreira da. Ab initio investigation of the role of the d-states occupation on the adsorption properties of H2, CO, CH4 and CH3OH on the Fe13, Co13, Ni13 and Cu13 clusters. Physical Chemistry Chemical Physics, v. 23, p. 8739–8751, 2021Tradução . . Disponível em: https://doi.org/10.1039/D0CP06091G. Acesso em: 15 nov. 2024.
APA
Sousa, P. F., Andriani, K. F., & Silva, J. L. F. da. (2021). Ab initio investigation of the role of the d-states occupation on the adsorption properties of H2, CO, CH4 and CH3OH on the Fe13, Co13, Ni13 and Cu13 clusters. Physical Chemistry Chemical Physics, 23, 8739–8751. doi:10.1039/D0CP06091G
NLM
Sousa PF, Andriani KF, Silva JLF da. Ab initio investigation of the role of the d-states occupation on the adsorption properties of H2, CO, CH4 and CH3OH on the Fe13, Co13, Ni13 and Cu13 clusters [Internet]. Physical Chemistry Chemical Physics. 2021 ; 23 8739–8751.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1039/D0CP06091G
Vancouver
Sousa PF, Andriani KF, Silva JLF da. Ab initio investigation of the role of the d-states occupation on the adsorption properties of H2, CO, CH4 and CH3OH on the Fe13, Co13, Ni13 and Cu13 clusters [Internet]. Physical Chemistry Chemical Physics. 2021 ; 23 8739–8751.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1039/D0CP06091G
Artigo de periodico
Multi-criteria decision approach to select carbon dioxide and hydrogen sources as potential raw materials for the production of chemicals (2021)
Lopes, João Vitor Monteiro ; Bresciani, Antonio Esio ; Carvalho, Kaccnny de Matos; Kulay, Luiz Alexandre ; Alves, Rita Maria de Brito
Fonte: Renewable and Sustainable Energy Reviews. Unidade: EP
Assuntos: DIÓXIDO DE CARBONO, HIDROGÊNIO
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ABNT
LOPES, João Vitor Monteiro et al. Multi-criteria decision approach to select carbon dioxide and hydrogen sources as potential raw materials for the production of chemicals. Renewable and Sustainable Energy Reviews, v. No 2021, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.rser.2021.111542. Acesso em: 15 nov. 2024.
APA
Lopes, J. V. M., Bresciani, A. E., Carvalho, K. de M., Kulay, L. A., & Alves, R. M. de B. (2021). Multi-criteria decision approach to select carbon dioxide and hydrogen sources as potential raw materials for the production of chemicals. Renewable and Sustainable Energy Reviews, No 2021, 1-13. doi:10.1016/j.rser.2021.111542
NLM
Lopes JVM, Bresciani AE, Carvalho K de M, Kulay LA, Alves RM de B. Multi-criteria decision approach to select carbon dioxide and hydrogen sources as potential raw materials for the production of chemicals [Internet]. Renewable and Sustainable Energy Reviews. 2021 ; No 2021 1-13.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.rser.2021.111542
Vancouver
Lopes JVM, Bresciani AE, Carvalho K de M, Kulay LA, Alves RM de B. Multi-criteria decision approach to select carbon dioxide and hydrogen sources as potential raw materials for the production of chemicals [Internet]. Renewable and Sustainable Energy Reviews. 2021 ; No 2021 1-13.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.rser.2021.111542
Artigo de periodico
An adaptive material interpolation for the reconstruction of p-wave velocity models with sharp interfaces using the topology optimization method (2021)
Gonçalves, Juliano Fagundes; Silva, Emílio Carlos Nelli
Fonte: Journal of Theoretical and Computational Acoustics. Unidade: EP
Assuntos: TOPOLOGIA, PROBLEMAS INVERSOS, INTERPOLAÇÃO, ANÁLISE NUMÉRICA
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ABNT
GONÇALVES, Juliano Fagundes e SILVA, Emílio Carlos Nelli. An adaptive material interpolation for the reconstruction of p-wave velocity models with sharp interfaces using the topology optimization method. Journal of Theoretical and Computational Acoustics, p. 1-23, 2021Tradução . . Disponível em: https://doi.org/10.1142/S259172852150016X. Acesso em: 15 nov. 2024.
APA
Gonçalves, J. F., & Silva, E. C. N. (2021). An adaptive material interpolation for the reconstruction of p-wave velocity models with sharp interfaces using the topology optimization method. Journal of Theoretical and Computational Acoustics, 1-23. doi:10.1142/S259172852150016X
NLM
Gonçalves JF, Silva ECN. An adaptive material interpolation for the reconstruction of p-wave velocity models with sharp interfaces using the topology optimization method [Internet]. Journal of Theoretical and Computational Acoustics. 2021 ; 1-23.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S259172852150016X
Vancouver
Gonçalves JF, Silva ECN. An adaptive material interpolation for the reconstruction of p-wave velocity models with sharp interfaces using the topology optimization method [Internet]. Journal of Theoretical and Computational Acoustics. 2021 ; 1-23.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1142/S259172852150016X
Artigo de periodico
Efficient CH4/CO2 gas mixture separation through nanoporous graphene membrane designs (2021)
Razmara, Naiyer; Kirch, Alexsandro ; Meneghini, Julio Romano ; Miranda, Caetano Rodrigues
Fonte: Energies. Unidades: EP, IF
Assuntos: NANOTECNOLOGIA, PROCESSOS DE SEPARAÇÃO, NANOTUBOS DE CARBONO, MATERIAIS NANOESTRUTURADOS
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ABNT
RAZMARA, Naiyer et al. Efficient CH4/CO2 gas mixture separation through nanoporous graphene membrane designs. Energies, v. 14, n. 9, p. 1-16, 2021Tradução . . Disponível em: https://doi.org/10.3390/en14092488. Acesso em: 15 nov. 2024.
APA
Razmara, N., Kirch, A., Meneghini, J. R., & Miranda, C. R. (2021). Efficient CH4/CO2 gas mixture separation through nanoporous graphene membrane designs. Energies, 14( 9), 1-16. doi:10.3390/en14092488
NLM
Razmara N, Kirch A, Meneghini JR, Miranda CR. Efficient CH4/CO2 gas mixture separation through nanoporous graphene membrane designs [Internet]. Energies. 2021 ; 14( 9): 1-16.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/en14092488
Vancouver
Razmara N, Kirch A, Meneghini JR, Miranda CR. Efficient CH4/CO2 gas mixture separation through nanoporous graphene membrane designs [Internet]. Energies. 2021 ; 14( 9): 1-16.[citado 2024 nov. 15 ] Available from: https://doi.org/10.3390/en14092488
Artigo de periodico
Performance analysis of a water ejector using Computational Fluid Dynamics (CFD) simulations and mathematical modeling (2021)
Marum, Victor J. de Oliveira ; Reis, Livia Bueno; Maffei, Felipe Silva; Ranjbarzadeh, Shahin ; Korkischko, Ivan ; Gioria, Rafael dos Santos ; Meneghini, Julio Romano
Fonte: Energy - Selected papers from the International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT2019). Nome do evento: International Conference on Computational Heat, Mass and Momentum Transfer. Unidade: EP
Assuntos: MATEMÁTICA, DINÂMICA DOS FLUÍDOS COMPUTACIONAL
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ABNT
MARUM, Victor J. de Oliveira et al. Performance analysis of a water ejector using Computational Fluid Dynamics (CFD) simulations and mathematical modeling. Energy - Selected papers from the International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT2019), v. 220, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.energy.2021.119779. Acesso em: 15 nov. 2024.
APA
Marum, V. J. de O., Reis, L. B., Maffei, F. S., Ranjbarzadeh, S., Korkischko, I., Gioria, R. dos S., & Meneghini, J. R. (2021). Performance analysis of a water ejector using Computational Fluid Dynamics (CFD) simulations and mathematical modeling. Energy - Selected papers from the International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT2019), 220. doi:10.1016/j.energy.2021.119779
NLM
Marum VJ de O, Reis LB, Maffei FS, Ranjbarzadeh S, Korkischko I, Gioria R dos S, Meneghini JR. Performance analysis of a water ejector using Computational Fluid Dynamics (CFD) simulations and mathematical modeling [Internet]. Energy - Selected papers from the International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT2019). 2021 ; 220[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.energy.2021.119779
Vancouver
Marum VJ de O, Reis LB, Maffei FS, Ranjbarzadeh S, Korkischko I, Gioria R dos S, Meneghini JR. Performance analysis of a water ejector using Computational Fluid Dynamics (CFD) simulations and mathematical modeling [Internet]. Energy - Selected papers from the International Conference on Computational Heat, Mass and Momentum Transfer (ICCHMT2019). 2021 ; 220[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.energy.2021.119779
Artigo de periodico
Evaluation of fischer-tropsch synthesis to light olefins over Co- and Fe-based catalysts using artificial neural network (2021)
Garona, Higor Azevedo; Cavalcanti, Fábio Machado ; Abreu, Thiago Ferreira de ; Schmal, Martin ; Alves, Rita Maria de Brito
Fonte: Journal of Cleaner Production. Unidade: EP
Assuntos: REDES NEURAIS, DIÓXIDO DE CARBONO, CATALISADORES
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ABNT
GARONA, Higor Azevedo et al. Evaluation of fischer-tropsch synthesis to light olefins over Co- and Fe-based catalysts using artificial neural network. Journal of Cleaner Production, v. 321, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.jclepro.2021.129003. Acesso em: 15 nov. 2024.
APA
Garona, H. A., Cavalcanti, F. M., Abreu, T. F. de, Schmal, M., & Alves, R. M. de B. (2021). Evaluation of fischer-tropsch synthesis to light olefins over Co- and Fe-based catalysts using artificial neural network. Journal of Cleaner Production, 321, 1-13. doi:10.1016/j.jclepro.2021.129003
NLM
Garona HA, Cavalcanti FM, Abreu TF de, Schmal M, Alves RM de B. Evaluation of fischer-tropsch synthesis to light olefins over Co- and Fe-based catalysts using artificial neural network [Internet]. Journal of Cleaner Production. 2021 ;321 1-13.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.jclepro.2021.129003
Vancouver
Garona HA, Cavalcanti FM, Abreu TF de, Schmal M, Alves RM de B. Evaluation of fischer-tropsch synthesis to light olefins over Co- and Fe-based catalysts using artificial neural network [Internet]. Journal of Cleaner Production. 2021 ;321 1-13.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.jclepro.2021.129003

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