NEUP CINR-24-31565: Unstructured Adaptive Mesh Algorithms for Monte Carlo Transport

We propose to develop the fundamental methods and techniques for unstructured adaptive mesh refinement with Monte Carlo tallies. This work enables a transformative leap forward in speed, accuracy, and robustness to enhance the contribution of high-fidelity radiation transport to advanced simulation. Adaptive refinement is deployed on a challenging multiphysics simulation, cascading heat pipe failure, to study acceleration and stabilization properties.

Additional Info

Field	Value
Awarded Institution	University of Illinois at Urbana-Champaign
PI	April Novak