Gianmarco Mengaldo
Orcid: 0000-0002-0157-5477Affiliations:
- Department of Aeronautics, Imperial College London, UK
According to our database1,
Gianmarco Mengaldo
authored at least 26 papers
between 2015 and 2023.
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Bibliography
2023
Nat. Mac. Intell., March, 2023
Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD package.
CoRR, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
Spectral/hp element methods' linear mechanism of (apparent) energy transfer in Fourier space: Insights into dispersion analysis for implicit LES.
J. Comput. Phys., 2022
Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics.
CoRR, 2022
InterpretTime: a new approach for the systematic evaluation of neural-network interpretability in time series classification.
CoRR, 2022
Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives.
CoRR, 2022
2021
Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/<i>hp</i> Element Methods.
SIAM Rev., 2021
J. Open Source Softw., 2021
Fully-discrete spatial eigenanalysis of discontinuous spectral element methods: insights into well-resolved and under-resolved vortical flows.
CoRR, 2021
PyParSVD: A streaming, distributed and randomized singular-value-decomposition library.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021
2020
A fast multi-resolution lattice Green's function method for elliptic difference equations.
J. Comput. Phys., 2020
<i>Nektar</i>++: Enhancing the capability and application of high-fidelity spectral/hp element methods.
Comput. Phys. Commun., 2020
Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/hp Element Methods.
CoRR, 2020
2019
Nektar++: enhancing the capability and application of high-fidelity spectral/hp element methods.
CoRR, 2019
2018
A comparative study on polynomial dealiasing and split form discontinuous Galerkin schemes for under-resolved turbulence computations.
J. Comput. Phys., 2018
Spatial eigensolution analysis of energy-stable flux reconstruction schemes and influence of the numerical flux on accuracy and robustness.
J. Comput. Phys., 2018
2017
On the eddy-resolving capability of high-order discontinuous Galerkin approaches to implicit LES / under-resolved DNS of Euler turbulence.
J. Comput. Phys., 2017
Comput. Phys. Commun., 2017
2016
On the Connections Between Discontinuous Galerkin and Flux Reconstruction Schemes: Extension to Curvilinear Meshes.
J. Sci. Comput., 2016
2015
Dealiasing techniques for high-order spectral element methods on regular and irregular grids.
J. Comput. Phys., 2015