Results 11 to 20 of about 8,002,611 (334)
Continuous-Scale Kinetic Fluid Simulation [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2019 Kinetic approaches, i.e., methods based on the lattice Boltzmann equations, have long been recognized as an appealing alternative for solving incompressible Navier-Stokes equations in computational fluid dynamics. However, such approaches have not been widely adopted in graphics mainly due to the underlying inaccuracy, instability and inflexibility. In
Wei Li, Kai Bai, Xiaopei Liu
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View-Dependent Multiscale Fluid Simulation [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2013 Fluid flows are highly nonlinear and nonstationary, with turbulence occurring and developing at different length and time scales. In real-life observations, the multiscale flow generates different visual impacts depending on the distance to the viewer.
Yue, Gao +3 more
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Hierarchical Differentiable Fluid Simulation
Computer Graphics ForumAbstractDifferentiable simulation is an emerging field that offers a powerful and flexible route to fluid control. In grid‐based settings, high memory consumption is a long‐standing bottleneck that constrains optimization resolution. We introduce a two‐step algorithm that significantly reduces memory usage: our method first optimizes for bulk forces at
Xiangyu Kong +4 more
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Fluid Simulation on Neural Flow Maps [PDF]
ACM Transactions on Graphics, 2023 We introduce Neural Flow Maps, a novel simulation method bridging the emerging paradigm of implicit neural representations with fluid simulation based on the theory of flow maps, to achieve state-of-the-art simulation of in-viscid fluid phenomena.
Yitong Deng +4 more
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GPU Optimization for High-Quality Kinetic Fluid Simulation [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2021 Fluid simulations are often performed using the incompressible Navier-Stokes equations (INSE), leading to sparse linear systems which are difficult to solve efficiently in parallel.
Yixin Chen, Wei Li, Rui Fan, Xiaopei Liu
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A Monte Carlo Method for Fluid Simulation
ACM Transactions on Graphics, 2022 We present a novel Monte Carlo-based fluid simulation approach capable of pointwise and stochastic estimation of fluid motion. Drawing on the Feynman-Kac representation of the vorticity transport equation, we propose a recursive Monte Carlo estimator of ...
Damien Rioux-Lavoie +6 more
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Graph attention network-based fluid simulation model
AIP Advances, 2022 Traditional computational fluid dynamics (CFD) techniques deduce the dynamic variations in flow fields by using finite elements or finite differences to solve partial differential equations.
Qiang Liu +5 more
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Dynamic simulation of splashing fluids [PDF]
Proceedings Computer Animation'95, 2002 Alternative location: http://graphics.berkeley.edu/papers/Obrien-DSS-1995 ...
O'Brien, JF, Hodgins, JK
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Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation [PDF]
International Conference for High Performance Computing, Networking, Storage and Analysis, 2019 The Eulerian fluid simulation is an important HPC application. The neural network has been applied to accelerate it. The current methods that accelerate the fluid simulation with neural networks lack flexibility and generalization.
Wenqian Dong, Jie Liu, Zhen Xie, Dong Li
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Dynamic simulation of an electrorheological fluid [PDF]
, 1992 A molecular-dynamics-like method is presented for the simulation of a suspension of dielectric particles in a nonconductive solvent forming an electrorheological fluid.
Bonnecaze, R. T., Brady, J. F.
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