Search Results for author: David Moxey

Found 2 papers, 0 papers with code

Accelerating Uncertainty Quantification of Groundwater Flow Modelling Using a Deep Neural Network Proxy

no code implementations1 Jul 2020 Mikkel B. Lykkegaard, Tim J. Dodwell, David Moxey

Quantifying the uncertainty in model parameters and output is a critical component in model-driven decision support systems for groundwater management.

Computation

Nektar++: enhancing the capability and application of high-fidelity spectral/$hp$ element methods

no code implementations8 Jun 2019 David Moxey, Chris D. Cantwell, Yan Bao, Andrea Cassinelli, Giacomo Castiglioni, Sehun Chun, Emilia Juda, Ehsan Kazemi, Kilian Lackhove, Julian Marcon, Gianmarco Mengaldo, Douglas Serson, Michael Turner, Hui Xu, Joaquim Peiró, Robert M. Kirby, Spencer J. Sherwin

Nektar++ is an open-source framework that provides a flexible, high-performance and scalable platform for the development of solvers for partial differential equations using the high-order spectral/$hp$ element method.

Mathematical Software Numerical Analysis Numerical Analysis Fluid Dynamics

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