Invited Sessions
Each Invited Session is expected to consist of at least one 2-hour session (6 presentations of 20 minutes each). The number of sessions of each IS will be determined by the multiples of six papers submitted.
In each IS a Keynote lecture is allowed every two full sessions of the IS, 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: Coupled problems, machine learning, Multiphysics
Keywords: Coupled problems, Multiscale, Numerical methods, Particle-laden flows
Keywords: data-driven methods, Digital twins, Numerical methods for coupled problems, reduced order model (ROM), Scientific machine learning
Keywords: artificial intelligence and machine learning, biomedical applications, computational fluid dynamics, fluid-structure interaction, Immersed boundary method, machine learning, multi-physics, Multiscale, solvers
Keywords: Multiphysics, Multiscale, Computational electromagnetics, Numerical methods
Keywords: Coupled problems, fluid-structure interaction, Multiphysics
Keywords: biomedical applications, computational fluid dynamics, Computational mechanics, fluid-structure interaction, Immersed boundary method
Keywords: Active, computational methods, control, flow, noise
Keywords: Multiphysics
Keywords: Computational mechanics, Constitutive modelling, Damage, Fracture, Multiphysics, Multiscale, Numerical methods for coupled problems, Porous media mechanics, Strain localization, THCM coupled problems
Keywords: Coupled problems, Multiphysics, Multiscale, numerical modelling
Keywords: AI, Bone, Clinical Applications, CT, PFM
Keywords: concrete, Coupled problems, Multiphysics, Multiscale, Numerical methods
Keywords: biomedical applications, computational simulation, image processing, numerical modelling
Keywords: computational simulation, image processing, Multiphysics, Multiscale, porous media, Simulation and experiments
Keywords: artificial intelligence and machine learning, biomedical applications, complex systems, computational simulation, Coupled problems, data-driven methods, physical and engineering systems, physics-based approaches
Keywords: computational fluid dynamics, machine learning, operator inference, reduced order model (ROM), Scientific machine learning
Keywords: hull vibrations, numerical modelling
Keywords: computational simulation, domain decomposition, Multiphysics, Multiscale, solvers
Keywords: machine learning, Multiscale, reduced order model (ROM)
Keywords: Multiphysics, porous media, solvers
Keywords: Coupled problems, Digital twins, Multiphysics, Multiscale
Keywords: Cut finite element method, fictious domain method, Finite cell method, Immersed boundary method, unfitted finite element method
Keywords: Material Modeling, Multiphysics, Numerical Methods, Physics-Augmented Machine Learning
Keywords: coupling, partitioned
Keywords: Multiphysics
Keywords: reduced order model (ROM), Scientific machine learning, uq
Keywords: Environmental modeling, Hydrology, Multiphysics, Multiscale, Surface-Subsurface Coupling
Keywords: additive manufcaturing, computational simulation, Multiphysics, Multiscale
Keywords: fluid-structure interaction, Multiphysics, Multiscale
Keywords: coupling, data-driven, domain decomposition, multi-physics, multi-scale, operator inference, reduced order model (ROM)
Keywords: computational fluid dynamics, Multiphysics, Multiscale, physical and engineering systems
Keywords: additive manufcaturing, data-driven methods, Multiphysics, Multiscale, numerical modelling
Keywords: data-driven strategies, projection-based strategies, reduced order methods
Keywords: computational fluid dynamics, finite element, Multiphysics
Keywords: finite element, high-order
Keywords: fluid-structure interaction, large scale computing, Numerical methods, numerical modelling, partitioned, Simulation and experiments
Keywords: Computational electromagnetics, computational simulation, Multiphysics, Numerical methods
Keywords: computational methods, Multiphysics
Keywords: computational simulation, Multiphysics, numerical modelling
Keywords: artificial intelligence and machine learning, multi-fidelity, Multiphysics, Multiscale, uncertainty quantification
Keywords: DEM, MPM, particle methods, PFEM, SPH
Keywords: artificial intelligence and machine learning, Mesh based, meshless based techniques, Multiphysics, Phase field, scale bridging and homogenisation, stabilisation methods
Keywords: aerodynamics, computational fluid dynamics, machine learning, Multiscale, turbulence
Keywords:
Spatial stochastic modeling, High-resolution microscopy, Machine learning, Multi-physics modeling, Virtual materials testing
Keywords: Adjoint methods, Coupled problems, Gradient descent, Optimization, Surrogate models
Keywords: aerodynamics, Coupled problems, fluid-structure interaction, Multiphysics, Multiscale, physics-based approaches
Keywords: computational fluid dynamics, curvature, discontinuity capturing, Multiscale, surface tension, wetting
Keywords: finite element, linear solvers, multiphysics, neuroscience, Numerical methods for coupled problems, reduced order methods, Scientific machine learning
Keywords: 3D printing, Multiphysics, Multiscale, Optimal design
Keywords: continuum mechanics, finite element method, large deformation or motions, Multi-physics modeling
Keywords: computational fluid dynamics, fluid-structure interaction, IMEX, Multiphysics, partitioned, partitioned FSI, splitting methods
Keywords: Computational mechanics, Health monitoring, Multi-physics modeling, Multiscale, Simulation and experiments
Keywords: hybrid models, Machine learning, model augmentation, uncertainty propagation, uncertainty quantification
Keywords: actuators, dynamics, electric motors, electro-mechanical systems, MEMS, multiple time scales, Multiscale, power electronics, sensors, switches
Keywords: geophysics, high-order, life sciences
Keywords: Multiphysics, Multiscale