activity
20192023
most citedSolving the Discretised Neutron Diffusion Equations using Neural Networks

26 citations · 66 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CE2023★ 7 cited

Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport

T. R. F. Phillips, C. E. Heaney, C. Boyang +2

In this paper we solve the Boltzmann transport equation using AI libraries. The reason why this is attractive is because it enables one to use the highly optimised software within…

cs.CE2023★ 26 cited

Solving the Discretised Neutron Diffusion Equations using Neural Networks

T. R. F. Phillips, C. E. Heaney, C. Boyang +2

This paper presents a new approach which uses the tools within Artificial Intelligence (AI) software libraries as an alternative way of solving partial differential equations (PDEs…

math.NA2020★ 4 cited

A comparison of element agglomeration algorithms for unstructured geometric multigrid

S. Dargaville, A. G. Buchan, R. P. Smedley-Stevenson +2

This paper compares the performance of seven different element agglomeration algorithms on unstructured triangular/tetrahedral meshes when used as part of a geometric multigrid. Fi…

physics.comp-ph2019★ 13 cited

Angular adaptivity with spherical harmonics for Boltzmann transport

S. Dargaville, A. G. Buchan, R. P. Smedley-Stevenson +2

This paper describes an angular adaptivity algorithm for Boltzmann transport applications which uses Pn and filtered Pn expansions, allowing for different expansion orders across s…

physics.comp-ph2019★ 16 cited

Scalable angular adaptivity for Boltzmann transport

S. Dargaville, A. G. Buchan, R. P. Smedley-Stevenson +2

This paper describes an angular adaptivity algorithm for Boltzmann transport applications which for the first time shows evidence of scaling in both runtime and me…