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Computational Radiation Transport, Multi-Physics, and Predictive Science

Texas A&M University College of Engineering

Transport Sweeps

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

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

Bruno Turcksin: charged particle transport!

Posted on March 15, 2019 by Jean Ragusa

Bruno Turcksin (PhD). We extended Yaqi’s work on Diffusion Synthetic Accelerators for Sn transport in bold ways: applying it to highly forward peaked scattering (as found in electron transport) and making it work on arbitrary polyhedral meshes! We published 2 journal articles.

Bruno is now a staff member at Oak Ridge National Lab (ORNL).

Filed Under: Arbitrary Polyhedral Mesh, Charged Particles, Diffusion Synthetic Acceleration, Students, Transport, Transport Sweeps

Yaqi Wang: making leaps in radiation transport discretization techniques

Posted on March 15, 2019 by Jean Ragusa

Yaqi Wang (MS+PhD). My first PhD student! Back in 2006, we were among the first ones to do mesh adaptivity for Sn transport on unstructured grids, using high-order finite elements. Whoop!!! In addition, we developed a robust and useful diffusion-preconditioned for transport based on discontinuous finite elements. It is used in several radiation transport codes today. We published a total of 7 journal articles (and numerous conference proceedings).

Yaqi was hired as a staff by INL. He is now the lead architect of their neutronics code, RattleSNake, based on the MOOSE multiphysics platform.

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

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