Matthew D. Eaton

According to our database, Matthew D. Eaton authored at least 10 papers between 2008 and 2023.

Collaborative distances:

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

2023

A Kronecker product accelerated efficient sparse Gaussian Process (E-SGP) for flow emulation.

Yu Duan, Matthew D. Eaton, Michael J. Bluck

CoRR, 2023

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

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

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

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

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

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

2016

Discontinuous isogeometric analysis methods for the first-order form of the neutron transport equation with discrete ordinate (S_N) angular discretisation.

A. R. Owens, J. A. Welch, József Kópházi, Matthew D. Eaton

J. Comput. Phys., 2016

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

2008

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

Proceedings of the Advances in Neural Networks, 2008