Conference Agenda

4:40pm - 5:00pm

Toward Validating Theoretical and Developing Data-Driven Deagglomeration Models: Particle-Resolved DNS for Forced HIT

Ali Khalifa, Michael Breuer

Helmut-Schmidt Universität Hamburg, Germany

5:00pm - 5:20pm

Heuristic Stochastic Inverse Multiphase Flow Model for Steady-State Three Phase-Flow

André Mendes Quintino¹, Ivar Eskerud Smith², Milan Stanko¹

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

Shuichiro Miwa¹, Wen Zhou¹, Yang Liu², Koji Okamoto¹

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

WEN ZHOU, Shuichiro Miwa, Koji Okamoto

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

Gianluca Boccardo¹, Agnese Marcato^1,3, Enrico Agostini², Javier E. Santos³, Yacine Haroun², Maxime Moreaud², Frederic Augier², Daniele Marchisio¹

¹Politecnico di Torino, Italy; ²IFP-Energies Nouvelles, Lyon, France; ³Earth and Environmental Sciences, Los Alamos National Laboratory, United States