Accelerating eulerian fluid simulation with convolutional networks

Mathematics

• Approximation 18%
• Architecture 40%
• Data-driven 83%
• Fluid 85%
• Fluid Flow 35%
• Framework 21%
• Generalization 18%
• Incompressible Euler Equations 47%
• Learning 33%
• Leverage 46%
• Linear Systems 26%
• Operator Splitting Method 50%
• Real-time 41%
• Resources 34%
• Simulation 69%
• Sparse Linear Systems 49%
• Standards 40%
• Stokes Equations 40%
• Unsupervised Learning 55%

Engineering & Materials Science

• Deep learning 49%
• Euler equations 68%
• Flow of fluids 49%
• Fluids 70%
• Linear systems 100%
• Unsupervised learning 62%