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Prediction of phase equilibrium between soybean biodiesel, alcohols and supercritical CO2 using artificial neural networks
Author(s) -
Gustavo Petroli,
Irede Angela Lucini Dalmolin,
Claiton Zanini Brusamarello
Publication year - 2022
Publication title -
chemical thermodynamics and thermal analysis
Language(s) - English
Resource type - Journals
ISSN - 2667-3126
DOI - 10.1016/j.ctta.2022.100048
Subject(s) - artificial neural network , ternary operation , methanol , mean squared error , supercritical fluid , biodiesel , ternary numeral system , van der waals force , thermodynamics , mathematics , mixing (physics) , biological system , materials science , chemistry , computer science , machine learning , statistics , organic chemistry , physics , catalysis , quantum mechanics , molecule , biology , programming language

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