1 citations · 2 across the 5 of their papers we have counts for
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A priori Assessment of Tensor-Network Encoding for Isotropic Turbulent Flows
Massen Esmaeili, Hirad Alipanah, Robert Pinkston +5
Tensor networks (TNs), originally developed for simulating many-body quantum systems, provide a systematic framework for approximating high-dimensional fields. This is achieved by…
Physics-constrained coupled neural differential equations for one dimensional blood flow modeling
Hunor Csala, Arvind Mohan, Daniel Livescu +1
Computational cardiovascular flow modeling plays a crucial role in understanding blood flow dynamics. While 3D models provide acute details, they are computationally expensive, esp…
Probabilistic Flux Limiters
Nga T. T. Nguyen-Fotiadis, Robert Chiodi, Michael McKerns +2
The stable numerical integration of shocks in compressible flow simulations relies on the reduction or elimination of Gibbs phenomena (unstable, spurious oscillations). A popular m…