David Moxey is a Reader in Engineering in the Department of Engineering at King's College London, honorary senior lecturer in the Department of Aeronautics at Imperial College London and an honorary associate professor in the College of Engineering, Mathematics and Physical Sciences at the University of Exeter.
For more information on his research and background, see David's personal webpage which has a complete publication record and further information on research areas.
Eichstadt J, Peiro J, Moxey D, 2023, Efficient vectorised kernels for unstructured high-order finite element fluid solvers on GPU architectures in two dimensions, Computer Physics Communications, Vol:284, ISSN:0010-4655
et al., 2022, Fast Barycentric-Based Evaluation Over Spectral/hp Elements, Journal of Scientific Computing, Vol:90, ISSN:0885-7474
et al., 2021, Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/hp Element Methods, Siam Review, Vol:63, ISSN:0036-1445, Pages:723-755
Lykkegaard MB, Dodwell TJ, Moxey D, 2021, Accelerating uncertainty quantification of groundwater flow modelling using a deep neural network proxy, Computer Methods in Applied Mechanics and Engineering, Vol:383, ISSN:0045-7825
Laughton E, Tabor G, Moxey D, 2021, A comparison of interpolation techniques for non-conformal high-order discontinuous Galerkin methods, Computer Methods in Applied Mechanics and Engineering, Vol:381, ISSN:0045-7825