Minimising the error in eigenvalue calculations involving the Boltzmann transport equation using goal-based adaptivity on unstructured meshes. - Mark A. Goffin; Christopher M. J. Baker; Andrew G. Buchan; Christopher C. Pain; Matthew D. Eaton; Paul N. Smith (J. Comput. Phys., 2013)

Non-linear model reduction for the Navier-Stokes equations using residual DEIM method. - Dunhui Xiao; Fangxin Fang; Andrew G. Buchan; Christopher C. Pain; Ionel Michael Navon; Juan Du 011; G. Hu (J. Comput. Phys., 2014)

A POD reduced order model for resolving angular direction in neutron/photon transport problems. - Andrew G. Buchan; A. A. Calloo; Mark G. Goffin; Steven Dargaville; Fangxin Fang; Christopher C. Pain; Ionel Michael Navon (J. Comput. Phys., 2015)

Goal-based angular adaptivity applied to a wavelet-based discretisation of the neutral particle transport equation. - Mark A. Goffin; Andrew G. Buchan; Steven Dargaville; Christopher C. Pain; Paul N. Smith; Richard P. Smedley-Stevenson (J. Comput. Phys., 2015)

Adaptive Haar wavelets for the angular discretisation of spectral wave models. - Alexandros Adam; Andrew G. Buchan; Matthew D. Piggott; Christopher C. Pain; Jon Hill; Mark A. Goffin (J. Comput. Phys., 2016)

Angular adaptivity with spherical harmonics for Boltzmann transport. - Steven Dargaville; Andrew G. Buchan; Richard P. Smedley-Stevenson; Paul N. Smith; Christopher C. Pain (J. Comput. Phys., 2019)

Scalable angular adaptivity for Boltzmann transport. - Steven Dargaville; Andrew G. Buchan; Richard P. Smedley-Stevenson; Paul N. Smith; Christopher C. Pain (J. Comput. Phys., 2020)

A comparison of element agglomeration algorithms for unstructured geometric multigrid. - Steven Dargaville; Andrew G. Buchan; Richard P. Smedley-Stevenson; Paul N. Smith; Christopher C. Pain (J. Comput. Appl. Math., 2021)

Solving the Discretised Neutron Diffusion Equations using Neural Networks. - T. R. F. Phillips; Claire E. Heaney; Boyang Chen 002; Andrew G. Buchan; Christopher C. Pain (CoRR, 2023)

Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport. - T. R. F. Phillips; Claire E. Heaney; Boyang Chen 002; Andrew G. Buchan; Christopher C. Pain (CoRR, 2023)

A reduced order model discretisation of the space-angle phase-space dimensions of the Boltzmann transport equation with application to nuclear reactor problems. - Andrew G. Buchan; Ionel Michael Navon; Liang Yang (J. Comput. Phys., 2024)