Predicting complex multicomponent particle–liquid flow in a mechanically agitated vessel via machine learning
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DOI: 10.1063/5.0142198
Abstract: Machine learning (ML) is used to build a new computationally efficient data-driven dynamical model for single-phase and complex multicomponent particle–liquid turbulent flows in a stirred vessel. By feeding short-term trajectories of flow phases or components… read more here.
Keywords: machine learning; complex multicomponent; flow; particle liquid ... See more keywords