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Artigo de periodico
Evidence of crustal flexure induced by fluvial incisions (2024)
Baiadori, Felipe; Sacek, Victor ; Freitas, Bernardo Tavares ; Almeida, Renato Paes de
Source: Tectonophysics. Unidades: IGC, IAG
Subjects: PAISAGEM, ISOSTASIA, EROSÃO FLUVIAL
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ABNT
BAIADORI, Felipe et al. Evidence of crustal flexure induced by fluvial incisions. Tectonophysics, v. 877, n. , p. 230292-, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.tecto.2024.230292. Acesso em: 29 jun. 2024.
APA
Baiadori, F., Sacek, V., Freitas, B. T., & Almeida, R. P. de. (2024). Evidence of crustal flexure induced by fluvial incisions. Tectonophysics, 877( ), 230292-. doi:10.1016/j.tecto.2024.230292
NLM
Baiadori F, Sacek V, Freitas BT, Almeida RP de. Evidence of crustal flexure induced by fluvial incisions [Internet]. Tectonophysics. 2024 ; 877( ): 230292-.[citado 2024 jun. 29 ] Available from: https://doi.org/10.1016/j.tecto.2024.230292
Vancouver
Baiadori F, Sacek V, Freitas BT, Almeida RP de. Evidence of crustal flexure induced by fluvial incisions [Internet]. Tectonophysics. 2024 ; 877( ): 230292-.[citado 2024 jun. 29 ] Available from: https://doi.org/10.1016/j.tecto.2024.230292
Artigo de periodico
Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production (2024)
Aranha, Pedro Esteves ; Policarpo, Nara Angélica ; Sampaio, Márcio Santos
Source: Journal Of Petroleum Exploration And Production Technology. Unidade: EP
Subjects: RESERVATÓRIOS DE PETRÓLEO, POÇOS
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ABNT
ARANHA, Pedro Esteves e POLICARPO, Nara Angélica e SAMPAIO, Márcio Santos. Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production. Journal Of Petroleum Exploration And Production Technology, 2024Tradução . . Disponível em: https://doi.org/10.1007/s13202-023-01720-4. Acesso em: 29 jun. 2024.
APA
Aranha, P. E., Policarpo, N. A., & Sampaio, M. S. (2024). Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production. Journal Of Petroleum Exploration And Production Technology. doi:10.1007/s13202-023-01720-4
NLM
Aranha PE, Policarpo NA, Sampaio MS. Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production [Internet]. Journal Of Petroleum Exploration And Production Technology. 2024 ;[citado 2024 jun. 29 ] Available from: https://doi.org/10.1007/s13202-023-01720-4
Vancouver
Aranha PE, Policarpo NA, Sampaio MS. Unsupervised machine learning model for predicting anomalies in subsurface safety valves and application in offshore wells during oil production [Internet]. Journal Of Petroleum Exploration And Production Technology. 2024 ;[citado 2024 jun. 29 ] Available from: https://doi.org/10.1007/s13202-023-01720-4
Artigo de periodico
A semi-hybrid-mixed method for Stokes-Brinkman-Darcy flows with H(div)-velocity fields (2024)
Carvalho, Pablo Giovanni Silva ; Devloo, Philippe Remy Bernard ; Gomes, Sônia Maria
Source: International Journal for Numerical Methods in Engineering. Unidade: ICMC
Subjects: MÉTODO DOS ELEMENTOS FINITOS, MECÂNICA DOS FLUÍDOS COMPUTACIONAL, TEOREMA DE STOKES
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ABNT
CARVALHO, Pablo Giovanni Silva e DEVLOO, Philippe Remy Bernard e GOMES, Sônia Maria. A semi-hybrid-mixed method for Stokes-Brinkman-Darcy flows with H(div)-velocity fields. International Journal for Numerical Methods in Engineering, v. 125, n. Ja 2024, p. 1-36, 2024Tradução . . Disponível em: https://doi.org/10.1002/nme.7363. Acesso em: 29 jun. 2024.
APA
Carvalho, P. G. S., Devloo, P. R. B., & Gomes, S. M. (2024). A semi-hybrid-mixed method for Stokes-Brinkman-Darcy flows with H(div)-velocity fields. International Journal for Numerical Methods in Engineering, 125( Ja 2024), 1-36. doi:10.1002/nme.7363
NLM
Carvalho PGS, Devloo PRB, Gomes SM. A semi-hybrid-mixed method for Stokes-Brinkman-Darcy flows with H(div)-velocity fields [Internet]. International Journal for Numerical Methods in Engineering. 2024 ; 125( Ja 2024): 1-36.[citado 2024 jun. 29 ] Available from: https://doi.org/10.1002/nme.7363
Vancouver
Carvalho PGS, Devloo PRB, Gomes SM. A semi-hybrid-mixed method for Stokes-Brinkman-Darcy flows with H(div)-velocity fields [Internet]. International Journal for Numerical Methods in Engineering. 2024 ; 125( Ja 2024): 1-36.[citado 2024 jun. 29 ] Available from: https://doi.org/10.1002/nme.7363
Artigo de periodico
Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils (2024)
Silva, Alexandre Ataíde da ; Oliveira, Ricardo A.G. de; Giordano, Gabriela F.; Silva, Giulia S. da; Murer, Rui C.; Vieira, Luis C.S.; Lorevice, Marcos V.; Gouveia, Rubia F.; Carvalho, Rogerio M.; Shimizu, Flavio M.; Gobbi, Angelo L.; Lima, Renato Sousa
Source: Sensors and Actuators B: Chemical. Unidade: IQSC
Subjects: ÍONS, INTELIGÊNCIA ARTIFICIAL
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ABNT
SILVA, Alexandre Ataíde da et al. Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils. Sensors and Actuators B: Chemical, v. 403, p. 135151, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.snb.2023.135151. Acesso em: 29 jun. 2024.
APA
Silva, A. A. da, Oliveira, R. A. G. de, Giordano, G. F., Silva, G. S. da, Murer, R. C., Vieira, L. C. S., et al. (2024). Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils. Sensors and Actuators B: Chemical, 403, 135151. doi:10.1016/j.snb.2023.135151
NLM
Silva AA da, Oliveira RAG de, Giordano GF, Silva GS da, Murer RC, Vieira LCS, Lorevice MV, Gouveia RF, Carvalho RM, Shimizu FM, Gobbi AL, Lima RS. Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils [Internet]. Sensors and Actuators B: Chemical. 2024 ;403 135151.[citado 2024 jun. 29 ] Available from: https://doi.org/10.1016/j.snb.2023.135151
Vancouver
Silva AA da, Oliveira RAG de, Giordano GF, Silva GS da, Murer RC, Vieira LCS, Lorevice MV, Gouveia RF, Carvalho RM, Shimizu FM, Gobbi AL, Lima RS. Ultrafast microfluidic solvent extraction and machine learning-assisted impedimetric sensor for multidetermination of scaling ions in crude oils [Internet]. Sensors and Actuators B: Chemical. 2024 ;403 135151.[citado 2024 jun. 29 ] Available from: https://doi.org/10.1016/j.snb.2023.135151
Artigo de periodico
Time domain NMR evaluation of thermal and thermochemical aging of nitrile rubber on crosslinking and mechanical properties (2024)
Silva Ruiz, Naira Machado da; Sousa, Ana Maria Furtado de; Calderari, Mônica Regina da Costa Marques; Figueiredo, Marco Antônio Gaya de; Lima, Aline Valerio de ; Azevêdo, Eduardo Ribeiro de
Source: Polymer Degradation and Stability. Unidade: IFSC
Subjects: RESSONÂNCIA MAGNÉTICA NUCLEAR, POLÍMEROS (MATERIAIS), ESPECTROSCOPIA
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ABNT
SILVA RUIZ, Naira Machado da et al. Time domain NMR evaluation of thermal and thermochemical aging of nitrile rubber on crosslinking and mechanical properties. Polymer Degradation and Stability, v. 224, p. 110727-1-110727-8, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.polymdegradstab.2024.110727. Acesso em: 29 jun. 2024.
APA
Silva Ruiz, N. M. da, Sousa, A. M. F. de, Calderari, M. R. da C. M., Figueiredo, M. A. G. de, Lima, A. V. de, & Azevêdo, E. R. de. (2024). Time domain NMR evaluation of thermal and thermochemical aging of nitrile rubber on crosslinking and mechanical properties. Polymer Degradation and Stability, 224, 110727-1-110727-8. doi:10.1016/j.polymdegradstab.2024.110727
NLM
Silva Ruiz NM da, Sousa AMF de, Calderari MR da CM, Figueiredo MAG de, Lima AV de, Azevêdo ER de. Time domain NMR evaluation of thermal and thermochemical aging of nitrile rubber on crosslinking and mechanical properties [Internet]. Polymer Degradation and Stability. 2024 ; 224 110727-1-110727-8.[citado 2024 jun. 29 ] Available from: https://doi.org/10.1016/j.polymdegradstab.2024.110727
Vancouver
Silva Ruiz NM da, Sousa AMF de, Calderari MR da CM, Figueiredo MAG de, Lima AV de, Azevêdo ER de. Time domain NMR evaluation of thermal and thermochemical aging of nitrile rubber on crosslinking and mechanical properties [Internet]. Polymer Degradation and Stability. 2024 ; 224 110727-1-110727-8.[citado 2024 jun. 29 ] Available from: https://doi.org/10.1016/j.polymdegradstab.2024.110727
Artigo de periodico
In silico investigation of herbicide release from intercalated layered double hydroxides (2024)
Tavares, Sergio R.; Moraes, Pedro Ivo R. ; Leitão, Alexandre A
Source: Applied Clay Science. Unidade: IQSC
Subjects: QUÍMICA TEÓRICA, PESTICIDAS
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ABNT
TAVARES, Sergio R. e MORAES, Pedro Ivo R. e LEITÃO, Alexandre A. In silico investigation of herbicide release from intercalated layered double hydroxides. Applied Clay Science, v. 254, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.clay.2024.107377. Acesso em: 29 jun. 2024.
APA
Tavares, S. R., Moraes, P. I. R., & Leitão, A. A. (2024). In silico investigation of herbicide release from intercalated layered double hydroxides. Applied Clay Science, 254. doi:10.1016/j.clay.2024.107377
NLM
Tavares SR, Moraes PIR, Leitão AA. In silico investigation of herbicide release from intercalated layered double hydroxides [Internet]. Applied Clay Science. 2024 ; 254[citado 2024 jun. 29 ] Available from: https://doi.org/10.1016/j.clay.2024.107377
Vancouver
Tavares SR, Moraes PIR, Leitão AA. In silico investigation of herbicide release from intercalated layered double hydroxides [Internet]. Applied Clay Science. 2024 ; 254[citado 2024 jun. 29 ] Available from: https://doi.org/10.1016/j.clay.2024.107377

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