57 citations · 82 across the 9 of their papers we have counts for
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physics.comp-ph2019★ 16 cited
Accelerating PDE-constrained Inverse Solutions with Deep Learning and Reduced Order Models
Sheroze Sheriffdeen, Jean C. Ragusa, Jim E. Morel +2
Inverse problems are pervasive mathematical methods in inferring knowledge from observational and experimental data by leveraging simulations and models. Unlike direct inference me…
physics.comp-ph2019★ 2 cited
Acceleration of Radiation Transport Solves Using Artificial Neural Networks
Mauricio Tano, Jean Ragusa
Discontinuous Finite Element Methods (DFEM) have been widely used for solving radiation transport problems in participative and non-participative media. In the DFEM met…
math.NA2019★ 1 cited
Positive asymptotic preserving approximation of the radiation transport equation
Jean-Luc Guermond, Bojan Popov, Jean Ragusa
We introduce a (linear) positive and asymptotic preserving method or solving the one-group radiation transport equation. The approximation in space is discretization agnostic: the…