Minisymposia
Each Minisymposium is expected to consist of at least one 2-hour session (6 presentations of 20 minutes each). The number of sessions of each MS will be determined by the multiples of six papers submitted.
In each MS a Keynote lecture is allowed every two full sessions of the MS, where a keynote presentation normally comprises two presentation slots. This means you should have at least 10 confirmed presentations to schedule a KL.
The above scheduling includes time for questions and discussion.
Keywords: Computational Fluid Dynamics, Data-Driven Methods, Hybrid modelling methods, Numerical Methods, Scientific Machine Learning, Free Surface Flow
Keywords: Coupled flow and transport models, Fluid-structure interactions, High-efficiency and Parallelization Strategies, Multi-phase flow, Particle-Continuum Coupling
Keywords: Ammonia, Combustion, Computational Fluid Dynamics, Hydrogen, Porous Media Flow, Soot
Keywords: Moving Boundaries, Shape Optimization, Non-Newtonian Fluids, reduced-order modeling
Keywords: Active Flow Control, Active Noise Control, Actuators, CFD, Closed-Loop Control, Fluid-structure interactions, Sensors
Keywords: complex fluids, cut mesh, finite element, finite volume, level set, moving boundaries, phase field, volume of fluid
Keywords: aeroacustic, boundary layer, computational aerodynamics, high performance computing, machine learning, panel methods, turbulence models
Keywords: data-driven methods, Deep Learning Discretizations, digital twins, Scientific ML
Keywords: DG methods, Fluid Dynamics, Navier-Stokes Equations, Stokes Equations, SUPG methods, Computational Mechanics, Finite Element Method, Numerical analysis, Numerical methods, Shallow water equations
Keywords: embedded and arbitrary Lagrangian-Eulerian methods, Fluid-Structure Problems, HPC, multiphysics
Keywords: Blood flow, Brain fluid dynamics, Coupled flow and transport models, Finite Element Method, Hemodynamics, Inverse problems, Model reduction, scientific machine learning
Keywords: Fluid Dynamics, high performance computing, Large-eddy simulations, machine learning
Keywords: Discontinuous Galerkin methods, Finite Volume methods, High order methods, Lagrangian-type methods, Structure Preserving schemes, Fluid Dynamics, Hyperbolic equations
Keywords: adaptive methods, auxiliary-field interactions, error estimation, immersed methods, iterative solution methods, multiscale models, reduced-order modeling, Fluid-structure interaction
Keywords: Computational Rheology, Incompressible flow, Multi-phase flow, Non-Newtonian fluids, Numerical analysis, Numerical methods
Keywords: Finite Volume Method, Fluid-Structure Problems, Laminar and Turbulent Flows, Multiscale, Scientific ML, Finite Element Method, HPC
Keywords: computational methods, data science, Fluid Dynamics, Fluid-Structure Problems, reduced-order modeling, Scientific ML
Keywords: data science, high performance computing, Model reduction, scientific machine learning, software
Keywords: Finite Element Method, Fluid-Structure Problems, Incompressible flow, Non-Newtonian fluids, Numerical methods
Keywords: Microscale Flow, Multiphase Flow, Porous Media Flow, Transport
Keywords: computational medicine, digital twins, multiphysics
Keywords: Fire, Fluid Dynamics, Timber
Keywords: computational methods, Fluid-Structure Problems, Moving Boundaries, particle methods, Particle-Continuum Coupling
Keywords: data-driven methods, low-order modeling, resolvent analysis, turbulent flows
Keywords: Finite Element Method, Incompressible flow, Numerical analysis, Numerical methods, numerical stabilization of discretisations
Keywords: Automatic adaptivity, automatic discrete stability, Deep Learning Discretizations, Discontinuous Petrov-Galerkin (DPG) Method
, Least-Squares Finite Elements
, numerical stabilization of discretisations, Residual Minimization
Keywords: computational methods, human circulation, medical applications