Search Results - "Henry de Frahan, Marc T"

PeleC: An adaptive mesh refinement solver for compressible reacting flows by Henry de Frahan, Marc T, Rood, Jon S, Day, Marc S, Sitaraman, Hariswaran, Yellapantula, Shashank, Perry, Bruce A, Grout, Ray W, Almgren, Ann, Zhang, Weiqun, Bell, John B, Chen, Jacqueline H

“…Reacting flow simulations for combustion applications require extensive computing capabilities. Leveraging the AMReX library, the Pele suite of combustion…”
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ExaWind: Open‐source CFD for hybrid‐RANS/LES geometry‐resolved wind turbine simulations in atmospheric flows by Sharma, Ashesh, Brazell, Michael J., Vijayakumar, Ganesh, Ananthan, Shreyas, Cheung, Lawrence, deVelder, Nathaniel, Henry de Frahan, Marc T., Matula, Neil, Mullowney, Paul, Rood, Jon, Sakievich, Philip, Almgren, Ann, Crozier, Paul S., Sprague, Michael

“…Predictive high‐fidelity modeling of wind turbines with computational fluid dynamics, wherein turbine geometry is resolved in an atmospheric boundary layer, is…”
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Adaptive mesh based combustion simulations of direct fuel injection effects in a supersonic cavity flame-holder by Sitaraman, Hariswaran, Yellapantula, Shashank, Henry de Frahan, Marc T., Perry, Bruce, Rood, Jon, Grout, Ray, Day, Marc

“…We present high-fidelity reacting simulations of a supersonic cavity flame-holder configuration. The focus of this work is on flame stabilization brought about…”
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A new limiting procedure for discontinuous Galerkin methods applied to compressible multiphase flows with shocks and interfaces by Henry de Frahan, Marc T., Varadan, Sreenivas, Johnsen, Eric

“…Although the Discontinuous Galerkin (dg) method has seen widespread use for compressible flow problems in a single fluid with constant material properties, it…”
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Deep learning for presumed probability density function models by T. Henry de Frahan, Marc, Yellapantula, Shashank, King, Ryan, S. Day, Marc, W. Grout, Ray

“…In this work, we use machine learning (ML) techniques to develop presumed probability density function (PDF) models for large eddy simulations (LES) of…”
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Co-optimized machine-learned manifold models for large eddy simulation of turbulent combustion by Perry, Bruce A., Henry de Frahan, Marc T., Yellapantula, Shashank

“…Many modeling approaches in large eddy simulation (LES) of turbulent combustion employ a projection of the thermochemical state onto a low-dimensional manifold…”
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Symbolic construction of the chemical Jacobian of quasi-steady state (QSS) chemistries for Exascale computing platforms by Hassanaly, Malik, Wimer, Nicholas T., Felden, Anne, Esclapez, Lucas, Ream, Julia, Henry de Frahan, Marc T., Rood, Jon, Day, Marc

“…The Quasi-Steady State Approximation (QSSA) can be an effective tool for reducing the size and stiffness of chemical mechanisms for implementation in…”
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A Weighted State Redistribution Algorithm for Embedded Boundary Grids by Giuliani, Andrew, Almgren, Ann S, Bell, John B, Berger, Marsha J, de Frahan, Marc T. Henry, Rangarajan, Deepak

“…State redistribution is an algorithm that stabilizes cut cells for embedded boundary grid methods. This work extends the earlier algorithm in several important…”
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Experiences Readying Applications for Exascale by Bauman, Paul T., Budiardja, Reuben D., Bykov, Dmytro, Chalmers, Noel, Chen, Jacqueline, Curtis, Nicholas, Day, Marc, Eisenbach, Markus, Esclapez, Lucas, Fanfarillo, Alessandro, Freitag, William, Frontiere, Nicholas, Georgiadou, Antigoni, Glenski, Joseph, Gottiparthi, Kalyana, Henry de Frahan, Marc T., Jansen, Gustav R., Joubert, Wayne, Lietz, Justin G., Kurzak, Jakub, Malaya, Nicholas, Messer, Bronson, McDougall, Damon, Mullowney, Paul, Nichols, Stephen, Norman, Matthew, Papatheodore, Thomas, Rood, Jon, Roth, Philip C., Sreepathi, Sarat, White, James, Wolfe, Noah

“…The advent of Exascale computing invites an assessment of existing best practices for developing application readiness on the world's largest supercomputers…”
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Deep learning for presumed probability density function models by de Frahan, Marc T. Henry, Yellapantula, Shashank, King, Ryan, Day, Marc S, Grout, Ray W

“…In this work, we use ML techniques to develop presumed PDF models for large eddy simulations of reacting flows. The joint sub-filter PDF of mixture fraction…”
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Deep learning for presumed probability density function models by T. Henry de Frahan, Marc, Yellapantula, Shashank, King, Ryan, S. Day, Marc, W. Grout, Ray

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A weighted state redistribution algorithm for embedded boundary grids by Giuliani, A., Almgren, A.S., Bell, J.B., Berger, M.J., Henry de Frahan, M.T., Rangarajan, D.

“…•Development of a 3D cut cell algorithm, state redistribution (SRD), for finite volume methods on engineering geometries.•Generalization of the original SRD…”
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Cover Image by Sharma, Ashesh, Brazell, Michael J., Vijayakumar, Ganesh, Ananthan, Shreyas, Cheung, Lawrence, deVelder, Nathaniel, Henry de Frahan, Marc T., Matula, Neil, Mullowney, Paul, Rood, Jon, Sakievich, Philip, Almgren, Ann, Crozier, Paul S., Sprague, Michael

“…The cover image is based on the Research Article ExaWind: Open‐source CFD for hybrid‐RANS/LES geometry‐resolved wind turbine simulations in atmospheric flows…”
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Cover Image by Sharma, Ashesh, Brazell, Michael J, Vijayakumar, Ganesh, Ananthan, Shreyas, Cheung, Lawrence, deVelder, Nathaniel, Marc T Henry de Frahan, Matula, Neil, Mullowney, Paul, Rood, Jon, Sakievich, Philip, Almgren, Ann, Crozier, Paul S, Sprague, Michael

“…The cover image is based on the Research Article ExaWind: Open‐source CFD for hybrid‐RANS/LES geometry‐resolved wind turbine simulations in atmospheric flows…”
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Cover Image by Sharma, Ashesh, Brazell, Michael J., Vijayakumar, Ganesh, Ananthan, Shreyas, Cheung, Lawrence, deVelder, Nathaniel, Henry de Frahan, Marc T., Matula, Neil, Mullowney, Paul, Rood, Jon, Sakievich, Philip, Almgren, Ann, Crozier, Paul S., Sprague, Michael

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A new limiting procedure for discontinuous Galerkin methods applied to compressible multiphase flows with shocks and interfaces by Henry de Frahan, Marc T., Varadan, Sreenivas, Johnsen, Eric

“…Although the Discontinuous Galerkin (dg) method has seen widespread use for compressible flow problems in a single fluid with constant material properties, it…”
Get full text

PeleC: An adaptive mesh refinement solver for compressible reacting flows by Henry de Frahan, Marc T., Rood, Jon S., Day, Marc S., Sitaraman, Hariswaran, Yellapantula, Shashank, Perry, Bruce A., Grout, Ray W., Almgren, Ann, Zhang, Weiqun, Bell, John B., Chen, Jacqueline H.

“…Reacting flow simulations for combustion applications require extensive computing capabilities. Leveraging the AMReX library, the Pele suite of combustion…”
Get full text

Numerical simulations of shock and rarefaction waves interacting with interfaces in compressible multiphase flows by Henry de Frahan, Marc T

“…Developing a highly accurate numerical framework to study multiphase mixing in high speed flows containing shear layers, shocks, and strong accelerations is…”
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A New Re-redistribution Scheme for Weighted State Redistribution with Adaptive Mesh Refinement by Sanchez, Isabel Barrio, Almgren, Ann S, Bell, John B, de Frahan, Marc T. Henry, Zhang, Weiqun

“…State redistribution (SRD) is a recently developed technique for stabilizing cut cells that result from finite-volume embedded boundary methods. SRD has been…”
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Symbolic construction of the chemical Jacobian of quasi-steady state (QSS) chemistries for Exascale computing platforms by Hassanaly, Malik, Wimer, Nicholas T, Felden, Anne, Esclapez, Lucas, Ream, Julia, de Frahan, Marc T. Henry, Rood, Jon, Day, Marc

“…The Quasi-Steady State Approximation (QSSA) can be an effective tool for reducing the size and stiffness of chemical mechanisms for implementation in…”
Get full text