David Moxey » News

Announcements from the group: new papers, funding, people joining and leaving, and events we are involved in.

New paper in SIAM Journal on Scientific Computing 14^th May 2026 paper

Boyang Xia and David Moxey have a paper in SIAM Journal on Scientific Computing on evaluating interface fluxes in discontinuous Galerkin spectral element methods. Non-conforming interfaces are one of the real strengths of DG, but if the flux is not evaluated carefully the resulting system matrix can lose symmetry. The paper sets out low-cost, unified approaches for general element shapes on unstructured meshes, together with a matrix-free implementation in Nektar++.

Surrogate-based optimisation of a centrifugal fan 18^th November 2025 paper

Centrifugal fans are widely used in building ventilation and air-conditioning, and are under growing pressure to be more efficient and quieter at the same time. A new paper in Engineering Applications of Computational Fluid Mechanics validates CFD models for both the aerodynamics and the aeroacoustics of a backward-curved centrifugal fan, then trains surrogate models on those simulations to optimise for both objectives together.

Two mesh generation papers in Computer-Aided Design 15^th September 2025 paper

Two papers from our collaboration with Imperial College London have appeared in Computer-Aided Design. The first tackles high-order mesh generation from third-party meshes: curving and optimising an imported mesh normally needs an accurate CAD parametrisation of the boundary, which is often missing in multi-software workflows, so the paper sets out a way to reconstruct that connectivity. The second is a proof-of-concept for generating curvilinear polygonal meshes for the Virtual Element Method.

New programme grant: REMODEL 1^st August 2025 funding

We are part of REMODEL, an EPSRC Programme Grant on advancing parallel mesh generation and geometry representation to enable industrially relevant, high-fidelity simulations. It is a 60-month programme with a total project value of £7.9M, led by Swansea University, with partners at Imperial College London, Queen’s University Belfast, EPCC at the University of Edinburgh, and ourselves at King’s.

Generating a valid mesh remains one of the largest practical obstacles to running high-fidelity simulations at scale, and it is the part of the workflow that is hardest to automate. REMODEL organises its work around geometry handling, mesh generation, and the use of machine learning within both. Our contribution builds on Nektar++ and NekMesh.

Parallel-in-time simulations in Nektar++ 20^th March 2025 paper software

Jacques Xing, Chris Cantwell and David Moxey have a paper in Computer Physics Communications describing the work to bring time-parallel integration methods into Nektar++. Where spatial parallelism saturates, integrating along the time axis as well offers a further route to using large HPC systems effectively.

New paper on sliding geometries in Journal of Computational Physics 10^th January 2025 paper

Simulating parts that rotate or translate, such as rotors and pressure cascades, means moving the mesh and bridging the non-conformal interface between the static and moving regions without losing accuracy. In a new paper in Journal of Computational Physics, M. Lahooti, E. Laughton, J. Ye, C. D. Cantwell and D. Moxey apply a point-to-point interpolation technique within the high-order discontinuous Galerkin method, which can handle interfaces that are difficult for other interpolation approaches.

Awarded RAEng Research Chair 31^st October 2024 funding

Delighted to say that I have been awarded a Royal Academy of Engineering Research Chair, working with the UK Atomic Energy Authority on leveraging exascale supercomputing for computational fusion, which follows on from our work on the NEPTUNE project. Very excited to embark on this journey for the next 5 years!

Appointment as Professor 1^st August 2023 people

Very pleased to announce that I am now a Professor of Computational Engineering! Many thanks to all of my students, postdocs, collaborators and colleagues for their support in this journey.

New papers 28^th February 2023 paper

There are two new papers in the group to report. The first investigates LES over an inverted multi-element wing for motorsport applications, and is published in Flow, Turbulence and Combustion; the second investigates efficient GPU implementations for unstructured elements and is published in Computer Physics Communications.

Appointment as Reader 1^st August 2021 people

I’m very pleased to say that I have been appointed as a Reader in the Department of Engineering at King’s College London! See my profile page for further information.

Two new publications in Computer Methods in Applied Mechanics and Engineering 1^st July 2021 paper

Two students in the group have published their first papers in CMAME! Ed Laughton has a paper out on different interpolation techniques for non-conformal discontinuous Galerkin methods. Mikkel Lykkegaard has his first paper on using deep neural networks for uncertantity quantification of groundwater flow. Well done both for all of your hard work!

New funded project: ELEMENT 1^st April 2020 funding

I’m very pleased to announce that we have received funding from EPSRC to form ELEMENT: the exascale mesh network. In this project we will work towards addressing the high-priority use case of mesh generation and adaption. This project forms one of the use cases under phase 1 of the strategic priorities fund ExCALBIUR programme.

New paper in SIAM Journal on Scientific Computing 25^th March 2020 paper

Very happy to say that my collaborators Roman Amici and Mike Kirby have a new paper to appear in SISC. We investigate the performance and potential for matrix-free solvers at high-order on the hybrid meshes needed to represent complex configurations and geometries, by exploiting vectorisation that is found on modern CPU hardware. With this approach we’re able to obtain 50-70\% of the peak performance on modern hardware.

New paper in Computer Physics Communications 22^nd February 2020 paper

Together with my collaborators Jan Eichstadt and Joaquim Peiro, we have a new paper that discusses performance portable implementations of implicit high-order solvers, and the influence of algorithmic choices under programming models such as OpenMP, OpenACC and Kokkos.