Neural Network Learns The Physics of Fluids and Smoke | Two Minute Papers #118

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The paper "Accelerating Eulerian Fluid Simulation With Convolutional Networks" and its source code is available here:
http://cims.nyu.edu/~schlacht/CNNFluids.htm
https://users.cg.tuwien.ac.at/zsolnai/accelerating-eulerian-fluid-simulation-convolutional-networks/
https://github.com/google/FluidNet

The mentioned previous work has used an SPH-based Lagrangian simulation, performed the regression with regression forests, and the process also has included a fair amount of feature engineering. It is an excellent piece of work by the name "Data-driven Fluid Simulations using Regression Forests" and is a highly recommended read:
https://www.inf.ethz.ch/personal/ladickyl/fluid_sigasia15.pdf
https://www.youtube.com/watch?v=kGB7Wd9CudA

Video credits:
Surface-Only Liquids - https://www.youtube.com/watch?v=-rf_MDh-FiE&list=PLujxSBD-JXgnnd16wIjedAcvfQcLw0IJI&index=6
Schrödinger's Smoke - https://www.youtube.com/watch?v=heY2gfXSHBo&list=PLujxSBD-JXgnnd16wIjedAcvfQcLw0IJI&index=5

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Tags:
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károly zsolnai-fehér
Data-driven Fluid Simulations using Regression Forests
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Accelerating Eulerian Fluid Simulation With Convolutional Networks
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