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Computational Radiation Transport, Multi-Physics, and Predictive Science

Texas A&M University College of Engineering

News

Zach Prince: King of PGD

Posted on March 15, 2019 by Jean Ragusa

Zach Prince (MS+PhD).

Filed Under: Model Order Reduction, Multiphysics, Students, Transport, Uncertainty Quantification

Patrick Behne: MOR with ML is even better

Posted on March 15, 2019 by Jean Ragusa

Patrick Behne (PhD).

Filed Under: Model Order Reduction, Students, Transport, Transport Sweeps, Uncertainty Quantification, Uncollided Flux

Logan Harbour: ray tracing for transport

Posted on March 15, 2019 by Jean Ragusa

Logan Harbour (MS+PhD).

Filed Under: Arbitrary Polyhedral Mesh, Students, Transport, Uncollided Flux

Peter German: MOR is better

Posted on March 15, 2019 by Jean Ragusa

Peter German (PhD).

Filed Under: Fluid Flows, Model Order Reduction, Multiphysics, Students

Tarek Ghaddar: LegoLand is not real. Let’s do better

Posted on March 15, 2019 by Jean Ragusa

Tarek Ghaddar (MS+PhD).

 

Filed Under: Massively Parallel, Students, Transport, Transport Sweeps

Marco Delchini: methods for two-phase flows

Posted on March 15, 2019 by Jean Ragusa

Marco Delchini (MS+PhD). Marco worked on artificial viscosity methods for fluid flows in various setting: single phase, two phases (using a 7-equation model with Pliq /= Pgas), and coupled radiation hydrodynamics. Artificial viscosity techniques aim at combatting non physical oscillations observed in numerical simulations. These spurious oscillations in the numerical solution are caused by the methods’ inability to reproduce the true entropy production. Marco’s work has led to 5 journal publications.

Marco now works at ORNL.

Filed Under: Artificial Viscosity Method, Fluid Flows, High Energy Density Physics, Multiphysics, Positivity Preserving, Students, Two-phase

Joshua Hansel: Bringing FCT to the transport community

Posted on March 15, 2019 by Jean Ragusa

Joshua Hansel (MS+PhD). For his MS, Josh worked on subchannel model development in ORNL’s AMP code. For his PhD, we investigated the intriguing work of Flux-Corrected Transport (FCT) and its application to radiation transport. Even though FCT has ‘flux’ and ‘transport’ in its name, it is a technique developed for fluid flow applications, aiming at mitigating spurious oscillations appearing at shock locations. We brought FCT to the transport world, but it was not an easy task! Josh’s work led to 1 journal publication.

Josh is now a staff member at INL, in the MOOSE and RELAP-7 teams.

Filed Under: Artificial Viscosity Method, Fluid Flows, Positivity Preserving, Students, Transport, Uncategorized

Mike Hackemack: polygons/polyhedral are fun!

Posted on March 15, 2019 by Jean Ragusa

Mike Hackemack (PhD). Mike worked on Sn transport discretizations for arbitrary polygons/polyhedra. We notably extended Adams’ PWLD method to a quadratic serendipity version. Mike also worked on diffusion synthetic acceleration and mesh adaptivity, in direct continuation of the PhD work of Yaqi and Bruno. Mike’s work led to 1 journal publication.

Mike is now staff member at KAPL (naval propulsion lab).

Filed Under: Arbitrary Polyhedral Mesh, Diffusion Synthetic Acceleration, High-Order Finite Elements, Mesh Adaptivity, Students, Transport

Damien Lebrun-Grandie: are we in contact?

Posted on March 15, 2019 by Jean Ragusa

Damien Lebrun-Grandie (PhD). Damien work on contact conditions in tensor mechanic simulations, an important topic for high-fidelity simulations of nuclear fuels. Damien now works ar ORNL.

Filed Under: Mechanical Contact, Students

Peter Maginot: High-order radiative transfer

Posted on March 15, 2019 by Jean Ragusa

Peter Maginot (MS+PhD). For his MS, Peter worked on positivity-preserving discretizations of the transport equation (positivity of the solution in important in of itself, but lack thereof can cause serious numerical problems, for instance, in radiative transfer applications). For his PhD, Peter continued working on quadrature-based positivity and developed a high-order in space+time code for radiative transfer. His work led to 3 journal articles.

Peter went on to LLNL, first as a post-doc, then as a staff member. He is now at LANL.

Filed Under: Diffusion Synthetic Acceleration, High Energy Density Physics, High-Order Finite Elements, Positivity Preserving, Students, Time Dependent, Transport

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Latest News

  • Zach Prince: King of PGD March 15, 2019
  • Patrick Behne: MOR with ML is even better March 15, 2019
  • Logan Harbour: ray tracing for transport March 15, 2019
  • Peter German: MOR is better March 15, 2019
  • Tarek Ghaddar: LegoLand is not real. Let’s do better March 15, 2019

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