9 citations · 22 across the 7 of their papers we have counts for
7 papers
One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions
Mario Lino, Nils Thuerey
Analyzing unsteady fluid flows often requires access to the full distribution of possible temporal states, yet conventional PDE solvers are computationally prohibitive and learned…
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
Mario Lino, Tobias Pfaff, Nils Thuerey
Physical systems with complex unsteady dynamics, such as fluid flows, are often poorly represented by a single mean solution. For many practical applications, it is crucial to acce…
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics
Mario Lino, Stati Fotiadis, Anil A. Bharath +1
Numerical simulation is an essential tool in many areas of science and engineering, but its performance often limits application in practice or when used to explore large parameter…
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks
Mario Lino, Stathi Fotiadis, Anil A. Bharath +1
Numerical simulators are essential tools in the study of natural fluid-systems, but their performance often limits application in practice. Recent machine-learning approaches have…
Disentangled Generative Models for Robust Prediction of System Dynamics
Stathi Fotiadis, Mario Lino, Shunlong Hu +3
Deep neural networks have become increasingly of interest in dynamical system prediction, but out-of-distribution generalization and long-term stability still remains challenging.…
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks
Mario Lino, Chris Cantwell, Anil A. Bharath +1
Continuum mechanics simulators, numerically solving one or more partial differential equations, are essential tools in many areas of science and engineering, but their performance…
Simulating Surface Wave Dynamics with Convolutional Networks
Mario Lino, Chris Cantwell, Stathi Fotiadis +2
We investigate the performance of fully convolutional networks to simulate the motion and interaction of surface waves in open and closed complex geometries. We focus on a U-Net ar…