ADVANCES IN PHYSICS-INFORMED NEURAL NETWORKS FOR PARAMETER ESTIMATION AND RECONSTRUCTION OF MULTIPHASE FLUID FLOWS

Data/hora/local da defesa: 5 de janeiro de 2023/ 13 h / sala B-104 do CT/UFRJ

Banca Examinadora: Prof. Alvaro Luiz Gayoso de Azeredo
Coutinho, PEC/COPPE/UFRJ
Prof. José Luís Drummond Alves, PEC/COPPE/UFRJ
Prof. Nelson Francisco Favilla Ebecken, PEC/COPPE/UFRJ
Prof. Fernando Alves Rochinha, PEM/COPPE/UFRJ
Prof. Frédéric Gerard Christian Valentin, LNCC
Prof. Régis Cottereau, CNRS