Nuclear Reactor Reactivity Prediction Using Feed Forward Artificial Neural Networks. - Shan Jiang; Christopher C. Pain; Jonathan N. Carter; Ahmet K. Ziver; Matthew D. Eaton; Anthony J. H. Goddard; Simon J. Franklin; Heather J. Phillips (ISNN (1), 2008)

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)

Discontinuous isogeometric analysis methods for the first-order form of the neutron transport equation with discrete ordinate (SN) angular discretisation. - A. R. Owens; J. A. Welch; József Kópházi; Matthew D. Eaton (J. Comput. Phys., 2016)

Goal-based h-adaptivity of the 1-D diamond difference discrete ordinate method. - R. S. Jeffers; József Kópházi; Matthew D. Eaton; François Févotte; Frank Hülsemann; Jean C. Ragusa (J. Comput. Phys., 2017)

Optimal trace inequality constants for interior penalty discontinuous Galerkin discretisations of elliptic operators using arbitrary elements with non-constant Jacobians. - A. R. Owens; József Kópházi; Matthew D. Eaton (J. Comput. Phys., 2017)

Energy dependent mesh adaptivity of discontinuous isogeometric discrete ordinate methods with dual weighted residual error estimators. - A. R. Owens; József Kópházi; J. A. Welch; Matthew D. Eaton (J. Comput. Phys., 2017)

A geometry preserving, conservative, mesh-to-mesh isogeometric interpolation algorithm for spatial adaptivity of the multigroup, second-order even-parity form of the neutron transport equation. - J. A. Welch; József Kópházi; A. R. Owens; Matthew D. Eaton (J. Comput. Phys., 2017)

Fixed inducing points online Bayesian calibration for computer models with an application to a scale-resolving CFD simulation. - Yu Duan; Matthew D. Eaton; Michael J. Bluck (J. Comput. Phys., 2021)

Spatial adaptivity of the SAAF and Weighted Least Squares (WLS) forms of the neutron transport equation using constraint based, locally refined, isogeometric analysis (IGA) with dual weighted residual (DWR) error measures. - Charlie Latimer; József Kópházi; Matthew D. Eaton; Ryan G. McClarren (J. Comput. Phys., 2021)

A Kronecker product accelerated efficient sparse Gaussian Process (E-SGP) for flow emulation. - Yu Duan; Matthew D. Eaton; Michael J. Bluck (J. Comput. Phys., 2025)