Fonte: International Journal of Hydrogen Energy. Unidade: IQSC
Assuntos: CATALISADORES, ETANOL
ABNT
OLIVEIRA, Deborah S.B.L. et al. Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization. International Journal of Hydrogen Energy, v. 48, n. 63, p. 24481-24491, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ijhydene.2023.03.137. Acesso em: 30 ago. 2024.APA
Oliveira, D. S. B. L., Colmati, F., Gonzalez, E. R., & Sousa Junior, R. de. (2023). Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization. International Journal of Hydrogen Energy, 48( 63), 24481-24491. doi:10.1016/j.ijhydene.2023.03.137NLM
Oliveira DSBL, Colmati F, Gonzalez ER, Sousa Junior R de. Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization [Internet]. International Journal of Hydrogen Energy. 2023 ;48( 63): 24481-24491.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1016/j.ijhydene.2023.03.137Vancouver
Oliveira DSBL, Colmati F, Gonzalez ER, Sousa Junior R de. Neurofuzzy modelling on the influence of Pt–Sn catalyst properties in direct ethanol fuel cells performance: Fuzzy inference system generation and cell power density optimization [Internet]. International Journal of Hydrogen Energy. 2023 ;48( 63): 24481-24491.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1016/j.ijhydene.2023.03.137