Graph neural network, hypergraph, finite element, rotation equivariance, fluid dynamics
cavitation, deep learning, graph neural network, time-series prediction
Fully Eulerian FSI, Allen-Cahn phase-field, Interface-driven adaptivity, Unstructured mesh, Mass conservation, Positivity preserving
Fluid-structure interaction, Cavitation, Stabilized finite element, Partitioned iterative, Large eddy simulation, Flexible hydrofoil
Fully Eulerian FSI, Phase-field formulation, Interface and geometry preserving, Curvature flow, Geometry preserving velocity, Convective distortion
Graph Neural Networks, Rotating Fluid Flow, Data-Driven Model, Rotation Equivariance
parametric level set method, convolutional encoder-decoder, shape optimization, hydrofoil morphing
Reward-directed diffusion, Non-differentiable surrogate, Soft value function, Gradient-free optimization, Ship hull design
Graph neural network, Shape optimization, Deep learning surrogate, Fluid-acoustics optimization, Implicit geometry representation, Adaptive morphing
Probabilistic Diffusion Model, Heat sink design, Gradient-Guided Diffusion, Inference-Time Alignment, Multi-objective optimization, Thermal Foundation Model
Phase-field model, Fully Eulerian FSI, Stabilized finite element, Contact modeling, Multibody contact, Efficient Interface Advancing
Attention mechanism, Neural Networks, Deep Learning, Reduced-order Modeling, Multi-step Method, Wave Propagation
