Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Fábio Machado Cavalcanti"'
The accelerated use of Artificial Neural Networks (ANNs) in Chemical and Process Engineering has drawn the attention of scientific and industrial communities, mainly due to the Big Data boom related to the analysis and interpretation of large data vo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c31b739847aff7f4ad38b6f523e6371
https://doi.org/10.5772/intechopen.96641
https://doi.org/10.5772/intechopen.96641
Autor:
Rita M.B. Alves, Thiago F. de Abreu, Fábio Machado Cavalcanti, Martin Schmal, Higor A. Garona
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Currently, energy transition due to fossil fuel negative side effects is taking place. This transition impacts the chemical industry based on light olefins reactions. Plastics, detergents, polymers, and others are mostly produced from such hydrocarbo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed9bc63f81129d762f7748a3c04bea68
Autor:
Martin Schmal, Reinaldo Giudici, Fábio Machado Cavalcanti, Tom Vandevyvere, Jeroen Poissonnier, Rita M.B. Alves, Joris Thybaut
Publikováno v:
CHEMISTRY PROCEEDINGS
The development of microkinetic models allows gaining an understanding of fundamental catalyst surface phenomena in terms of elementary reaction steps without a priori defining a rate-determining step, yielding more meaningful and physically reliable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9bac7f09a994186e25ae457ba9a3421
https://biblio.ugent.be/publication/8686764
https://biblio.ugent.be/publication/8686764
Autor:
Luis B. Betancourt, Reinaldo Giudici, Davi D. Petrolini, José Mansur Assaf, Elisabete Moreira Assaf, Francielle Candian Firmino Marcos, José A. Rodriguez, Fábio Machado Cavalcanti, Lili Lin, Sanjaya D. Senanayake
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Kinetic aspects of the operating parameters for the catalytic conversion of H2/CO2 to methanol over two novel catalysts were evaluated to understand the effect of the polymorphic ZrO2 phase composed of Cu0/+-ZnO sites at the atomic level and its impa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6978ad2ea22bb838837a2ac1909d961d
https://doi.org/10.1016/j.cej.2021.130947
https://doi.org/10.1016/j.cej.2021.130947
Autor:
Paulo F. Moreira, Maria G. F. Torraga, Reinaldo Giudici, Fábio Machado Cavalcanti, Guilherme Fianco Fasolo
Publikováno v:
Blucher Chemical Engineering Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d054616d2222835f0b3b521687f7ffa7
https://doi.org/10.5151/cobeq2018-pt.1055
https://doi.org/10.5151/cobeq2018-pt.1055
Publikováno v:
Anais do XX Congresso Brasileiro de Engenharia Química.
RESUMO – O termo Pre-sal e usado para designar o conjunto de rochas no subsolo, localizadas abaixo de uma extensa camada de sal, podendo chegar a mais de 7 mil metros de profundidade abaixo do nivel do mar, com potencial para geracao e acumulo de p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c78acfc62d9377676f29a638f88d3f6
https://doi.org/10.5151/chemeng-cobeq2014-2073-15977-143018
https://doi.org/10.5151/chemeng-cobeq2014-2073-15977-143018
Autor:
Pier Luigi Mazzeo, Paolo Spagnolo
Deep learning is a branch of machine learning similar to artificial intelligence. The applications of deep learning vary from medical imaging to industrial quality checking, sports, and precision agriculture. This book is divided into two sections. T