Special Session: Machine Learning for Multiphase Flows
| #875: Examples of the use of machine learning for multiphase flow predictions [Session S12; Room 402] |
Gretar Tryggvason (Johns Hopkins University); Jiacai Lu (Johns Hopkins University) |
| #876: Modelling Local steady-state and time-dependent flow and transport in porous media by multiscale neural networks [Session S12; Room 402] |
Agnese Marcato (Politecnico di Torino); Javier E. Santos (Los Alamos National Laboratory); Chaoyue Liu (LRCS); Gianluca Boccardo (Politecnico di Torino); Alejandro A. Franco (LRCS); Masa Prodanovic (University of Texas at Austin); Daniele Marchisio (Politecnico di Torino); |
| #877: Data-driven shape optimisation of chemical reactors [Session S12; Room 402] |
Nausheen Basha (Imperial College London); Thomas Savage (Imperial College London); Ehecatl Antonio del Rio Chanona (Imperial College London); Omar K. Matar (Imperial College London) |
| #878: Review of machine learning for hydrodynamics, transport and reactions in multiphase flows and reactors [Session S12; Room 402] |
Li-Tao Zhu (Shanghai Jiao Tong University); Bo Ouyang (Shanghai Jiao Tong University); He Lei (Shanghai Jiao Tong University); Zheng-Hong Luo (Shanghai Jiao Tong University) |
| #879: Physics-inspired machine learning for multiphase flow modeling [Session S12; Room 402] |
Sivaramakrishnan Balachandar (University of Florida) |