A list of papers relating Computational Physics and Machine Learning. This list is by no means complete so if there are other resources that you feel are missing either send me a link to [email protected] or do a pull request. I will try to add to this list as much as possible.
Accelerating Eulerian Fluid Simulation With Convolutional Networks ( Paper Notes )
Lat-Net: Compressing Lattice Boltzmann Flow Simulations using Deep Neural Networks ( Paper Notes )
Convolutional Neural Networks for Steady Flow Approximation ( Paper Notes )
Data-driven projection method in fluid simulation
Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation Data ( Paper Notes )
Deep Learning in Fluid Mechanics
Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
Deep Learning the Physics of Transport Phenomena
Solving parametric PDE problems with artificial neural networks
Using CNNs for fluid flow analysis
CFD + Machine learning for super fast simulations
Use of machine learning in computational fluid dynamics
Deep learning and the Schr¨odinger equation ( Paper Notes )
CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks ( Paper Notes )