Subjects: HIDROGÊNIO, CATÁLISE, NANOTUBOS DE CARBONO, REDES NEURAIS, CINÉTICA QUÍMICA
ABNT
CAVALCANTI, Fábio Machado. Evaluation of catalysts supported on carbon nanotubes and kinetic modeling of the process for the Water-Gas Shift (WGS) reaction: macro and microkinetic approaches and use of machine learning techniques for catalyst selection. 2023. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3137/tde-08032024-101425/pt-br.php. Acesso em: 11 set. 2024.APA
Cavalcanti, F. M. (2023). Evaluation of catalysts supported on carbon nanotubes and kinetic modeling of the process for the Water-Gas Shift (WGS) reaction: macro and microkinetic approaches and use of machine learning techniques for catalyst selection (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3137/tde-08032024-101425/pt-br.phpNLM
Cavalcanti FM. Evaluation of catalysts supported on carbon nanotubes and kinetic modeling of the process for the Water-Gas Shift (WGS) reaction: macro and microkinetic approaches and use of machine learning techniques for catalyst selection [Internet]. 2023 ;[citado 2024 set. 11 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3137/tde-08032024-101425/pt-br.phpVancouver
Cavalcanti FM. Evaluation of catalysts supported on carbon nanotubes and kinetic modeling of the process for the Water-Gas Shift (WGS) reaction: macro and microkinetic approaches and use of machine learning techniques for catalyst selection [Internet]. 2023 ;[citado 2024 set. 11 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3137/tde-08032024-101425/pt-br.php