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A comparison of neural-network architectures to accelerate high-order h/p solvers
High-order solvers are accurate but computationally expensive as they require small time
steps to advance the solution in time. In this work, we include a corrective forcing to a low …
steps to advance the solution in time. In this work, we include a corrective forcing to a low …