6 citations · 14 across the 4 of their papers we have counts for
4 papers
Drag Reduction in Flows Past 2D and 3D Circular Cylinders Through Deep Reinforcement Learning
Michail Chatzimanolakis, Pascal Weber, Petros Koumoutsakos
We investigate drag reduction mechanisms in flows past two- and three-dimensional cylinders controlled by surface actuators using deep reinforcement learning. We investigate 2D and…
An interpretable wildfire spreading model for real-time predictions
Konstantinos Vogiatzoglou, Costas Papadimitriou, Konstantinos Ampountolas +3
Forest fires pose a natural threat with devastating social, environmental, and economic implications. The rapid and highly uncertain rate of spread of wildfires necessitates a trus…
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems
Ivica Kičić, Pantelis R. Vlachas, Georgios Arampatzis +3
Predictive simulations are essential for applications ranging from weather forecasting to material design. The veracity of these simulations hinges on their capacity to capture the…
CubismAMR -- A C++ library for Distributed Block-Structured Adaptive Mesh Refinement
Michail Chatzimanolakis, Pascal Weber, Fabian Wermelinger +1
We present CubismAMR, a C++ library for distributed simulations with block-structured grids and Adaptive Mesh Refinement. A numerical method to solve the incompressible Navier-Stok…