Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview |
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S3-11: Machine Learning and Multiphase flows
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4:40pm - 5:00pm
Toward Validating Theoretical and Developing Data-Driven Deagglomeration Models: Particle-Resolved DNS for Forced HIT Helmut-Schmidt Universität Hamburg, Germany
5:00pm - 5:20pm
Heuristic Stochastic Inverse Multiphase Flow Model for Steady-State Three Phase-Flow 1Norwegian University of Science and Technology (NTNU), Norway; 2SINTEF Industry, Norway
5:20pm - 5:40pm
Development of AI-driven Multiphase Data Generation Models Using Generative AI Techniques 1The University of Tokyo, Japan; 2Virginia Tech, USA
5:40pm - 6:00pm
Physics-Informed Neural Networks for Two-Phase Flow Simulations: An Integrated Approach with Advanced Interface Tracking Methods University of Tokyo, Japan
6:00pm - 6:20pm
Modeling Of Flow and Transport in Porous Media: Integrating CFD and Deep Learning for Applications in Digitally Generated Geometries 1Politecnico di Torino, Italy; 2IFP-Energies Nouvelles, Lyon, France; 3Earth and Environmental Sciences, Los Alamos National Laboratory, United States
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