Browsing School of Engineering and Materials Science by Author "Pain, CC"
Now showing items 1-14 of 14
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Adaptive Haar wavelets for the angular discretisation of spectral wave models
Adam, A; Buchan, AG; Piggott, MD; Pain, CC; Hill, J; Goffin, MA (2015-11-02) -
Angular adaptivity with spherical harmonics for Boltzmann transport
Dargaville, S; Buchan, AG; Smedley-Stevenson, RP; Smith, PN; Pain, CC (2019-11-15) -
A combined immersed body and adaptive mesh method for simulating neutron transport within complex structures
Buchan, AG; Dargaville, S; Pain, CC (2019-12) -
A comparison of element agglomeration algorithms for unstructured geometric multigrid
Dargaville, S; Buchan, AG; Smedley-Stevenson, RP; Smith, PN; Pain, CC (Elsevier, 2021-01-12)This paper compares the performance of seven different element agglomeration algorithms on unstructured triangular/tetrahedral meshes when used as part of a geometric multigrid. Five of these algorithms come from the ... -
Goal-based angular adaptivity applied to a wavelet-based discretisation of the neutral particle transport equation
Goffin, MA; Buchan, AG; Dargaville, S; Pain, CC; Smith, PN; Smedley-Stevenson, RP (2014-11-06) -
A goal-based angular adaptivity method for thermal radiation modelling in non grey media
Soucasse, L; Dargaville, S; Buchan, AG; Pain, CC (2017-10) -
A Haar wavelet method for angularly discretising the Boltzmann transport equation
Adigun, BJ; Buchan, AG; Adam, A; Dargaville, S; Goffin, MA; Pain, CC (2018-09) -
Non-intrusive reduced order modelling of the Navier–Stokes equations
Xiao, D; Fang, F; Buchan, AG; Pain, CC; Navon, IM; Muggeridge, A (2015-05-28) -
Non-linear model reduction for the Navier–Stokes equations using residual DEIM method
Xiao, D; Fang, F; Buchan, AG; Pain, CC; Navon, IM; Du, J; Hu, G (Elsevier BV, 2014-04) -
Optimised Adjoint Sensitivity Analysis Using Adjoint Guided Mesh Adaptivity Applied to Neutron Detector Response Calculations
Buchan, AG; Cacuci, DG; Dargaville, S; Pain, CC (2022) -
A POD reduced order model for resolving angular direction in neutron/photon transport problems
Buchan, AG; Calloo, AA; Goffin, MG; Dargaville, S; Fang, F; Pain, CC; Navon, IM (2015-05-04) -
Reduced-Order Modelling Applied to the Multigroup Neutron Diffusion Equation Using a Nonlinear Interpolation Method for Control-Rod Movement
Heaney, CE; Buchan, AG; Pain, CC; Jewer, S (MDPI, 2021-03)Producing high-fidelity real-time simulations of neutron diffusion in a reactor is computationally extremely challenging, due, in part, to multiscale behaviour in energy and space. In many scientific fields, including ... -
Scalable angular adaptivity for Boltzmann transport
Dargaville, S; Buchan, AG; Smedley-Stevenson, RP; Smith, PN; Pain, CC (2020-04-01) -
Solving the discretised neutron diffusion equations using neural networks
Phillips, TRF; Heaney, CE; Chen, B; Buchan, AG; Pain, CC (Wiley, 2023)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) that have been discretised using standard ...