Santos, Denise P 
; Pelissari, Pedro Ivo Batistel Galiote Brossi ; Mello, Rodrigo Fernandes de ; Pandolfelli, Victor Carlos
Source: Journal of Applied Physics. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MÉTODO DOS ELEMENTOS FINITOS, FORNO ELÉTRICO, TRANSFERÊNCIA DE CALOR
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SANTOS, Denise P et al. Estimating the thermal insulating performance of multi-component refractory ceramic systems based on a machine learning surrogate model framework. Journal of Applied Physics, v. 127, n. 21, p. 215104-1-215104-7, 2020Tradução . . Disponível em: https://doi.org/10.1063/5.0004395. Acesso em: 17 nov. 2024.APA
Santos, D. P., Pelissari, P. I. B. G. B., Mello, R. F. de, & Pandolfelli, V. C. (2020). Estimating the thermal insulating performance of multi-component refractory ceramic systems based on a machine learning surrogate model framework. Journal of Applied Physics, 127( 21), 215104-1-215104-7. doi:10.1063/5.0004395NLM
Santos DP, Pelissari PIBGB, Mello RF de, Pandolfelli VC. Estimating the thermal insulating performance of multi-component refractory ceramic systems based on a machine learning surrogate model framework [Internet]. Journal of Applied Physics. 2020 ; 127( 21): 215104-1-215104-7.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1063/5.0004395Vancouver
Santos DP, Pelissari PIBGB, Mello RF de, Pandolfelli VC. Estimating the thermal insulating performance of multi-component refractory ceramic systems based on a machine learning surrogate model framework [Internet]. Journal of Applied Physics. 2020 ; 127( 21): 215104-1-215104-7.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1063/5.0004395
