Physics-Informed Neural Networks for two-phase flow modeling in pipelines with state-dependent properties: Parameter estimation and experiment design

Computers & Chemical Engineering 2026 Open access

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Authors: Luis Kin Miyatake, Eduardo Camponogara, Alexey Pavlov, Eric Aislan Antonelo

DOI: 10.1016/j.compchemeng.2026.109764

Cited by: 1

References: 20

Fields of Study & Subjects

Water Systems and Optimization Model Reduction and Neural Networks Nuclear Engineering Thermal-Hydraulics

References 20