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Toby R. F. Phillips

3 papers hereh-index 5119 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CE2
  • math.NA1

identity via Semantic Scholar / OpenAlex

most citedAn autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion

74 citations · 107 across the 3 of their papers we have counts for

collaborators

3 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★ 74 cited

An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion

Toby Phillips, Claire E. Heaney, Paul N. Smith +1

Using an autoencoder for dimensionality reduction, this paper presents a novel projection-based reduced-order model for eigenvalue problems. Reduced-order modelling relies on findi…

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