57 citations · 192 across the 23 of their papers we have counts for
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Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Jiachen Yang, Ketan Mittal, Tarik Dzanic +5
Adaptive mesh refinement (AMR) is necessary for efficient finite element simulations of complex physical phenomenon, as it allocates limited computational budget based on the need…
A positivity-preserving and conservative high-order flux reconstruction method for the polyatomic Boltzmann--BGK equation
Tarik Dzanic, Freddie D. Witherden, Luigi Martinelli
In this work, we present a positivity-preserving high-order flux reconstruction method for the polyatomic Boltzmann--BGK equation augmented with a discrete velocity model that ensu…
Positivity-Preserving Entropy-Based Adaptive Filtering for Discontinuous Spectral Element Methods
Tarik Dzanic, Freddie D. Witherden
In this work, we present a positivity-preserving entropy-based adaptive filtering method for shock capturing in discontinuous spectral element methods. By adapting the filter stren…