activity
20132023
most citedSkeletal mechanism generation for surrogate fuels using directed relation graph with error propagation and sensitivity analysis

370 citations · 1.3k across the 36 of their papers we have counts for

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Showing physics.comp-phShow all

11 papers · 1 filter

physics.comp-ph2023

Hybrid-Delta Tracking on a Structured Mesh in MCATK

J. P. Morgan, Travis J. Trahan, Timothy P. Burke +2

Monte Carlo Application Toolkit (MCATK) commonly uses surface tracking on a structured mesh to compute scalar fluxes. In this mode, higher fidelity requires more mesh cells and iso…

physics.comp-ph2023★ 2 cited

Development of MC/DC: a performant, scalable, and portable Python-based Monte Carlo neutron transport code

Ilham Variansyah, J. P. Morgan, Jordan Northrop +2

We discuss the current development of MC/DC (Monte Carlo Dynamic Code). MC/DC is primarily designed to serve as an exploratory Python-based MC transport code. However, it seeks to…

physics.comp-ph2023

Exploring One-Cell Inversion Method for Transient Transport on GPU

J. P. Morgan, Ilham Variansyah, Todd S. Palmer +1

To find deterministic solutions to the transient neutron transport equation, iterative schemes are typically used to treat the scattering (and fission) source terms. We explo…

physics.comp-ph2022★ 6 cited

Accelerating reactive-flow simulations using vectorized chemistry integration

Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung

The high cost of chemistry integration is a significant computational bottleneck for realistic reactive-flow simulations using operator splitting. Here we present a methodology to…

physics.comp-ph2018★ 10 cited

Using SIMD and SIMT vectorization to evaluate sparse chemical kinetic Jacobian matrices and thermochemical source terms

Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung

Accurately predicting key combustion phenomena in reactive-flow simulations, e.g., lean blow-out, extinction/ignition limits and pollutant formation, necessitates the use of detail…

physics.comp-ph2017★ 8 cited

Accelerating solutions of one-dimensional unsteady PDEs with GPU-based swept time-space decomposition

Daniel J Magee, Kyle E Niemeyer

The expedient design of precision components in aerospace and other high-tech industries requires simulations of physical phenomena often described by partial differential equation…

physics.comp-ph2017

An initial investigation of the performance of GPU-based swept time-space decomposition

Daniel Magee, Kyle E Niemeyer

Simulations of physical phenomena are essential to the expedient design of precision components in aerospace and other high-tech industries. These phenomena are often described by…

physics.comp-ph2016★ 27 cited

Accelerating finite-rate chemical kinetics with coprocessors: comparing vectorization methods on GPUs, MICs, and CPUs

Christopher P. Stone, Andrew T. Alferman, Kyle E. Niemeyer

Efficient ordinary differential equation solvers for chemical kinetics must take into account the available thread and instruction-level parallelism of the underlying hardware, esp…

physics.comp-ph2016★ 29 cited

An investigation of GPU-based stiff chemical kinetics integration methods

Nicholas J. Curtis, Kyle E. Niemeyer, Chih-Jen Sung

A fifth-order implicit Runge-Kutta method and two fourth-order exponential integration methods equipped with Krylov subspace approximations were implemented for the GPU and paired…

physics.comp-ph2016★ 101 cited

pyJac: analytical Jacobian generator for chemical kinetics

Kyle E. Niemeyer, Nicholas J. Curtis, Chih-Jen Sung

Accurate simulations of combustion phenomena require the use of detailed chemical kinetics in order to capture limit phenomena such as ignition and extinction as well as predict po…

physics.comp-ph2013★ 77 cited

Accelerating moderately stiff chemical kinetics in reactive-flow simulations using GPUs

Kyle E Niemeyer, Chih-Jen Sung

The chemical kinetics ODEs arising from operator-split reactive-flow simulations were solved on GPUs using explicit integration algorithms. Nonstiff chemical kinetics of a hydrogen…