Andrew G. Buchan

According to our database, Andrew G. Buchan authored at least 11 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

2023

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

T. R. F. Phillips, Claire E. Heaney, Boyang Chen, Andrew G. Buchan, Christopher C. Pain

CoRR, 2023

Solving the Discretised Neutron Diffusion Equations using Neural Networks.

T. R. F. Phillips, Claire E. Heaney, Boyang Chen, Andrew G. Buchan, Christopher C. Pain

CoRR, 2023

2021

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

2020

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

2019

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

2016

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

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

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

2014

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, G. Hu

J. Comput. Phys., 2014

2013

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