MgNet learns the RTE solution operator via a multigrid-inspired architecture with neural sub-operators and adaptive angular filtering, delivering at least 10x speedup as a preconditioner with generalization to new parameters.
A fast algorithm for radiative transport in isotropic media.Journal of Computational Physics, 399:108958
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math.NA 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
An adaptive tailored finite point scheme combined with the recursive skeleton method produces a reusable explicit multilevel decomposition of the inverse operator for sequences of steady-state RTEs arising from implicit time discretization.
citing papers explorer
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A Filtered MgNet Solver For Radiative Transfer Equations
MgNet learns the RTE solution operator via a multigrid-inspired architecture with neural sub-operators and adaptive angular filtering, delivering at least 10x speedup as a preconditioner with generalization to new parameters.
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Fast Algorithm For Solving Time-dependent Multiscale radiative transport Equation
An adaptive tailored finite point scheme combined with the recursive skeleton method produces a reusable explicit multilevel decomposition of the inverse operator for sequences of steady-state RTEs arising from implicit time discretization.