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Machine Learning for Fluid Mechanics, , and . Annual Review of Fluid Mechanics, (January 2020)Multicore/Multi-GPU Accelerated Simulations of Multiphase Compressible Flows Using Wavelet Adapted Grids., , , and . SIAM J. Sci. Comput., 33 (2): 512-540 (2011)MRAG-I2D: Multi-resolution adapted grids for remeshed vortex methods on multicore architectures., , , , , and . J. Comput. Phys., (2015)Optimal fidelity multi-level Monte Carlo for quantification of uncertainty in simulations of cloud cavitation collapse., , , , and . CoRR, (2017)An Efficient Compressible Multicomponent Flow Solver for Heterogeneous CPU/GPU Architectures., , , , and . PASC, page 8. ACM, (2016)Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning., , and . CoRR, (2023)Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts., and . CoRR, (2023)Optimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools., , and . CoRR, (2022)Learning Efficient Navigation in Vortical Flow Fields., , , , and . CoRR, (2021)Publisher Correction: Automating turbulence modelling by multi-agent reinforcement learning., , and . Nat. Mach. Intell., 3 (1): 99 (2021)