97 citations · 383 across the 23 of their papers we have counts for
23 papers
A sub-grid-scale model for polydisperse bubbly flows with heat and mass transfer
Anand Radhakrishnan, Spencer H. Bryngelson
Ensemble-averaged models of polydisperse bubbly flows require statistics of the evolving bubble population. Prior quadrature-based moment formulations close bubble pressure with a…
Apple Neural Engine: Architecture, Programming, and Performance
Spencer H. Bryngelson
The Apple Neural Engine (ANE) is Apple's fixed-function matrix accelerator. It has shipped in every Apple system-on-chip since the A11 in iPhones and iPads and the M1 in Macs. Appl…
ANEForge: Python for direct computation on the Apple Neural Engine
Spencer H. Bryngelson
ANEForge is a Python package that programs the Apple Neural Engine (ANE), the fixed-function neural accelerator on every recent Apple device, directly and without CoreML. In produc…
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…
Accelerating Bayesian Optimal Experimental Design via Local Radial Basis Functions: Application to Soft Material Characterization
Tianyi Chu, Jonathan B. Estrada, Spencer H. Bryngelson
We develop a computational approach that significantly improves the efficiency of Bayesian optimal experimental design (BOED) using local radial basis functions (RBFs). The present…
Pyrometheus: Symbolic abstractions for XPU and automatically differentiated computation of combustion kinetics and thermodynamics
Esteban Cisneros-Garibay, Henry Le Berre, Dimitrios Adam +2
The cost of combustion simulations is often dominated by the evaluation of net production rates of chemical species and mixture thermodynamics (thermochemistry). Execution on compu…
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…
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…
Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme
Shantanu Shahane, Sheide Chammas, Deniz A. Bezgin +8
Conventional WENO3 methods are known to be highly dissipative at lower resolutions, introducing significant errors in the pre-asymptotic regime. In this paper, we employ a rational…
Bayesian optimal design accelerates discovery of material properties from bubble dynamics
Tianyi Chu, Jonathan B. Estrada, Spencer H. Bryngelson
An optimal sequential experimental design approach is developed to computationally characterize soft material properties at the high strain rates associated with bubble cavitation.…
Neural networks can be FLOP-efficient integrators of 1D oscillatory integrands
Anshuman Sinha, Spencer H. Bryngelson
We demonstrate that neural networks can be FLOP-efficient integrators of one-dimensional oscillatory integrands. We train a feed-forward neural network to compute integrals of high…
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-…
A quantitative comparison of phase-averaged models for bubbly, cavitating flows
Spencer H. Bryngelson, Kevin Schmidmayer, Tim Colonius
We compare the computational performance of two modeling approaches for the flow of dilute cavitation bubbles in a liquid. The first approach is a deterministic model, for which bu…
Application Experiences on a GPU-Accelerated Arm-based HPC Testbed
Wael Elwasif, William Godoy, Nick Hagerty +28
This paper assesses and reports the experience of ten teams working to port,validate, and benchmark several High Performance Computing applications on a novel GPU-accelerated Arm t…
Competitive Physics Informed Networks
Qi Zeng, Yash Kothari, Spencer H. Bryngelson +1
Neural networks can be trained to solve partial differential equations (PDEs) by using the PDE residual as the loss function. This strategy is called "physics-informed neural netwo…
Hybrid quadrature moment method for accurate and stable representation of non-Gaussian processes and their dynamics
Alexis-Tzianni Charalampopoulos, Spencer H. Bryngelson, Tim Colonius +1
Solving the population balance equation (PBE) for the dynamics of a dispersed phase coupled to a continuous fluid is expensive. Still, one can reduce the cost by representing the e…
QBMMlib: A library of quadrature-based moment methods
Spencer H. Bryngelson, Tim Colonius, Rodney O. Fox
QBMMlib is an open source Mathematica package of quadrature-based moment methods and their algorithms. Such methods are commonly used to solve fully-coupled disperse flow and combu…
Characterizing viscoelastic materials via ensemble-based data assimilation of bubble collapse observations
Jean-Sebastien Spratt, Mauro Rodriguez, Kevin Schmidmayer +4
Viscoelastic material properties at high strain rates are needed to model many biological and medical systems. Bubble cavitation can induce such strain rates, and the resulting bub…
Near-surface dynamics of a gas bubble collapsing above a crevice
Theresa Trummler, Spencer H. Bryngelson, Kevin Schmidmayer +3
The impact of a collapsing gas bubble above rigid, notched walls is considered. Such surface crevices and imperfections often function as bubble nucleation sites, and thus have a d…
A Gaussian moment method and its augmentation via LSTM recurrent neural networks for the statistics of cavitating bubble populations
Spencer H. Bryngelson, Alexis Charalampopoulos, Themistoklis P. Sapsis +1
Phase-averaged dilute bubbly flow models require high-order statistical moments of the bubble population. The method of classes, which directly evolve bins of bubbles in the probab…
Simulation of humpback whale bubble-net feeding models
Spencer H. Bryngelson, Tim Colonius
Humpback whales can generate intricate bubbly regions, called bubble nets, via their blowholes. They appear to exploit these bubble nets for feeding via loud vocalizations. A fully…
MFC: An open-source high-order multi-component, multi-phase, and multi-scale compressible flow solver
Spencer H. Bryngelson, Kevin Schmidmayer, Vedran Coralic +3
MFC is an open-source tool for solving multi-component, multi-phase, and bubbly compressible flows. It is capable of efficiently solving a wide range of flows, including droplet at…
An assessment of multicomponent flow models and interface capturing schemes for spherical bubble dynamics
Kevin Schmidmayer, Spencer H. Bryngelson, Tim Colonius
Numerical simulation of bubble dynamics and cavitation is challenging; even the seemingly simple problem of a collapsing spherical bubble is difficult to compute accurately with a…