Accelerating eulerian fluid simulation with convolutional networks
Efficient simulation of the Navier-Stokes equations for fluid flow is a long standing problem in
applied mathematics, for which state-of-the-art methods require large compute resources. In …
applied mathematics, for which state-of-the-art methods require large compute resources. In …
Data-driven fluid simulations using regression forests
Traditional fluid simulations require large computational resources even for an average
sized scene with the main bottleneck being a very small time step size, required to …
sized scene with the main bottleneck being a very small time step size, required to …
Fast octree neighborhood search for SPH simulations
We present a new octree-based neighborhood search method for SPH simulation. A
speedup of up to 1.9 x is observed in comparison to state-of-the-art methods which rely on …
speedup of up to 1.9 x is observed in comparison to state-of-the-art methods which rely on …
Infinite continuous adaptivity for incompressible SPH
In this paper we introduce a novel method to adaptive incompressible SPH simulations.
Instead of using a scheme with a number of fixed particle sizes or levels, our approach …
Instead of using a scheme with a number of fixed particle sizes or levels, our approach …
Optimized refinement for spatially adaptive SPH
In this article, we propose an improved refinement process for the simulation of
incompressible low-viscosity turbulent flows using Smoothed Particle Hydrodynamics, under …
incompressible low-viscosity turbulent flows using Smoothed Particle Hydrodynamics, under …
A survey on SPH methods in computer graphics
Throughout the past decades, the graphics community has spent major resources on the
research and development of physics simulators on the mission to computer‐generate …
research and development of physics simulators on the mission to computer‐generate …
Adaptive physically based models in computer graphics
PL Manteaux, C Wojtan, R Narain… - Computer Graphics …, 2017 - Wiley Online Library
One of the major challenges in physically based modelling is making simulations efficient.
Adaptive models provide an essential solution to these efficiency goals. These models are …
Adaptive models provide an essential solution to these efficiency goals. These models are …
Semi-analytic boundary handling below particle resolution for smoothed particle hydrodynamics
In this paper, we present a novel semi-analytical boundary handling method for spatially
adaptive and divergence-free smoothed particle hydrodynamics (SPH) simulations …
adaptive and divergence-free smoothed particle hydrodynamics (SPH) simulations …
Fluid simulation with adaptive staggered power particles on GPUs
This paper extends the recently proposed power-particle-based fluid simulation method with
staggered discretization, GPU implementation, and adaptive sampling, largely enhancing …
staggered discretization, GPU implementation, and adaptive sampling, largely enhancing …
Adaptive position-based fluids: improving performance of fluid simulations for real-time applications
The Position Based Fluids (PBF) method is a state-of-the-art approach for fluid simulations in
the context of real-time applications like games. It uses an iterative solver concept that tries …
the context of real-time applications like games. It uses an iterative solver concept that tries …