activity
20192024
most citedA Weighted State Redistribution Algorithm for Embedded Boundary Grids

27 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2024★ 1 cited

Symbolic construction of the chemical Jacobian of quasi-steady state (QSS) chemistries for Exascale computing platforms

Malik Hassanaly, Nicholas T. Wimer, Anne Felden +5

The Quasi-Steady State Approximation (QSSA) can be an effective tool for reducing the size and stiffness of chemical mechanisms for implementation in computational reacting flow so…

math.OC2024★ 1 cited

Adaptive Computing for Scale-up Problems

Kevin Patrick Griffin, Hilary Egan, Marc T. Henry de Frahan +11

Adaptive Computing is an application-agnostic outer loop framework to strategically deploy simulations and experiments to guide decision making for scale-up analysis. Resources are…

math.NA2023

A New Re-redistribution Scheme for Weighted State Redistribution with Adaptive Mesh Refinement

Isabel Barrio Sanchez, Ann S. Almgren, John B. Bell +2

State redistribution (SRD) is a recently developed technique for stabilizing cut cells that result from finite-volume embedded boundary methods. SRD has been successfully applied t…

math.NA2021★ 27 cited

A Weighted State Redistribution Algorithm for Embedded Boundary Grids

Andrew Giuliani, Ann S. Almgren, John B. Bell +3

State redistribution is an algorithm that stabilizes cut cells for embedded boundary grid methods. This work extends the earlier algorithm in several important ways. First, state r…

cs.LG2019

A block-random algorithm for learning on distributed, heterogeneous data

Prakash Mohan, Marc T. Henry de Frahan, Ryan King +1

Most deep learning models are based on deep neural networks with multiple layers between input and output. The parameters defining these layers are initialized using random values…