Learning low-rank neutron transport dynamics on linear subspaces and nonlinear manifolds: A semi-intrusive operator-inferred approach
Published in Computer Methods in Applied Mechanics and Engineering, 2026
- Paper / DOI link: https://doi.org/10.1016/j.cma.2026.119091
Recommended citation: Silva, F. A. B., & Ragusa, J. C. (2026). “Learning low-rank neutron transport dynamics on linear subspaces and nonlinear manifolds: A semi-intrusive operator-inferred approach.” Computer Methods in Applied Mechanics and Engineering, 461(1), 119091. https://doi.org/10.1016/j.cma.2026.119091
Download Paper