From the 1 of 12 linked papers with an AI index.
1 citations · 1 across the 5 of their papers we have counts for
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A sub-grid-scale model for polydisperse bubbly flows with heat and mass transfer
Anand Radhakrishnan, Spencer H. Bryngelson
The paper introduces a sub‑grid‑scale model that uses a conditional hyperbolic quadrature method to track bubble pressure and vapor mass in polydisperse bubbly flows, explicitly ac…
MFC 5.0: An exascale many-physics flow solver
Benjamin Wilfong, Henry A. Le Berre, Anand Radhakrishnan +16
Many problems of interest in engineering, medicine, and the fundamental sciences rely on high-fidelity flow simulation, making performant computational fluid dynamics solvers a mai…
Hierarchical Bayesian constitutive model selection for high-strain-rate soft material characterization
Victor Sanchez, Sawyer Remillard, Bachir A. Abeid +5
The high-fidelity characterization of soft, tissue-like materials under ultra-high-strain-rate conditions is critical in engineering and medicine. Still, it remains challenging due…
OpenACC offloading of the MFC compressible multiphase flow solver on AMD and NVIDIA GPUs
Benjamin Wilfong, Anand Radhakrishnan, Henry A. Le Berre +3
GPUs are the heart of the latest generations of supercomputers. We efficiently accelerate a compressible multiphase flow solver via OpenACC on NVIDIA and AMD Instinct GPUs. Optimiz…
Method for portable, scalable, and performant GPU-accelerated simulation of multiphase compressible flow
Anand Radhakrishnan, Henry Le Berre, Benjamin Wilfong +4
Multiphase compressible flows are often characterized by a broad range of space and time scales. Thus entailing large grids and small time steps, simulations of these flows on CPU-…