libyt provides a bidirectional C-Python interface for in-situ analysis of patch-based AMR simulations using yt and Jupyter with minimal workflow changes.
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Interpolation-based ROM techniques with Q-DEIM hyper-reduction are applied to reduce computational cost and memory use of stochastic integrals in the SFV method for high-dimensional stochastic spaces.
pkdgrav3 is a scalable tree-based SPH code for self-gravitating hydrodynamics that validates well on standard tests and supports planetary impact simulations.
Implementation and validation of a high-order ADER-DG hydrodynamics solver with limiter in ExaHyPE on standard 1D and 2D test problems.
citing papers explorer
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libyt: an In Situ Interface Connecting Simulations with yt, Python, and Jupyter Workflows
libyt provides a bidirectional C-Python interface for in-situ analysis of patch-based AMR simulations using yt and Jupyter with minimal workflow changes.
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Model Order Reduction Techniques for the Stochastic Finite Volume Method
Interpolation-based ROM techniques with Q-DEIM hyper-reduction are applied to reduce computational cost and memory use of stochastic integrals in the SFV method for high-dimensional stochastic spaces.
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Smoothed Particle Hydrodynamics in pkdgrav3 for Shock Physics Simulations. I. Hydrodynamics
pkdgrav3 is a scalable tree-based SPH code for self-gravitating hydrodynamics that validates well on standard tests and supports planetary impact simulations.
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High-Order ADER-DG Hydrodynamics with ExaHyPE: Implementation, Validation, and Astrophysical Benchmarking
Implementation and validation of a high-order ADER-DG hydrodynamics solver with limiter in ExaHyPE on standard 1D and 2D test problems.