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Gianmarco Mengaldo
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Nektar++: An open-source spectral/hp element framework
CD Cantwell, D Moxey, A Comerford, A Bolis, G Rocco, G Mengaldo, ...
Computer physics communications 192, 205-219, 2015
6082015
On the eddy-resolving capability of high-order discontinuous Galerkin approaches to implicit LES/under-resolved DNS of Euler turbulence
RC Moura, G Mengaldo, J Peiró, SJ Sherwin
Journal of Computational Physics 330, 615-623, 2017
1522017
Nektar++: Enhancing the capability and application of high-fidelity spectral/hp element methods
D Moxey, CD Cantwell, Y Bao, A Cassinelli, G Castiglioni, S Chun, E Juda, ...
Computer Physics Communications 249, 107110, 2020
1232020
A comparative study on polynomial dealiasing and split form discontinuous Galerkin schemes for under-resolved turbulence computations
AR Winters, RC Moura, G Mengaldo, GJ Gassner, S Walch, J Peiro, ...
Journal of Computational Physics 372, 1-21, 2018
1202018
Dealiasing techniques for high-order spectral element methods on regular and irregular grids
G Mengaldo, D De Grazia, D Moxey, PE Vincent, SJ Sherwin
Journal of Computational Physics 299, 56-81, 2015
1182015
Connections between the discontinuous Galerkin method and high‐order flux reconstruction schemes
D De Grazia, G Mengaldo, D Moxey, PE Vincent, SJ Sherwin
International Journal for Numerical Methods in Fluids 75 (12), 860-877, 2014
842014
A Guide to the Implementation of Boundary Conditions in Compact High-Order Methods for Compressible Aerodynamics
G Mengaldo, D De Grazia, J Peiro, A Farrington, F Witherden, PE Vincent, ...
AIAA Aviation 2014, 2014
782014
A concise guide to modelling the physics of embodied intelligence in soft robotics
G Mengaldo, F Renda, SL Brunton, M Bächer, M Calisti, C Duriez, ...
Nature Reviews Physics 4 (9), 595-610, 2022
662022
Spatial eigensolution analysis of discontinuous Galerkin schemes with practical insights for under-resolved computations and implicit LES
G Mengaldo, RC Moura, B Giralda, J Peiró, SJ Sherwin
Computers & Fluids 169, 349-364, 2018
642018
Current and emerging time-integration strategies in global numerical weather and climate prediction
G Mengaldo, AA Wyszogrodzki, M Diamantakis, SJ Lock, FX Giraldo, ...
622018
On the connections between discontinuous Galerkin and flux reconstruction schemes: extension to curvilinear meshes
G Mengaldo, D De Grazia, PE Vincent, SJ Sherwin
Journal of Scientific Computing 67, 1272-1292, 2016
522016
Non-modal analysis of spectral element methods: Towards accurate and robust large-eddy simulations
P Fernandez, RC Moura, G Mengaldo, J Peraire
Computer Methods in Applied Mechanics and Engineering 346, 43-62, 2019
462019
Atlas: A library for numerical weather prediction and climate modelling
W Deconinck, P Bauer, M Diamantakis, M Hamrud, C Kühnlein, P Maciel, ...
Computer Physics Communications 220, 188-204, 2017
442017
Spatial eigensolution analysis of energy-stable flux reconstruction schemes and influence of the numerical flux on accuracy and robustness.
G Mengaldo, D De Grazia, RC Moura, SJ Sherwin
J. Comput. Phys. 358 (1), 1-20, 2018
432018
Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/hp Element Methods
G Mengaldo, D Moxey, M Turner, RC Moura, A Jassim, M Taylor, J Peiró, ...
SIAM Review 63 (4), 2021
362021
An LES setting for DG-based implicit LES with insights on dissipation and robustness
RC Moura, G Mengaldo, J Peiró, SJ Sherwin
Spectral and High Order Methods for Partial Differential Equations ICOSAHOM …, 2017
342017
Spectral empirical orthogonal function analysis of weather and climate data
OT Schmidt, G Mengaldo, G Balsamo, NP Wedi
Monthly Weather Review 147 (8), 2979-2995, 2019
302019
Evaluation of post-hoc interpretability methods in time-series classification
H Turbé, M Bjelogrlic, C Lovis, G Mengaldo
Nature Machine Intelligence 5 (3), 250-260, 2023
29*2023
The ESCAPE project: energy-efficient scalable algorithms for weather prediction at exascale
A Müller, W Deconinck, C Kühnlein, G Mengaldo, M Lange, N Wedi, ...
Geoscientific Model Development 12 (10), 4425-4441, 2019
272019
Efficient high-dimensional variational data assimilation with machine-learned reduced-order models
R Maulik, V Rao, J Wang, G Mengaldo, E Constantinescu, B Lusch, ...
Geoscientific Model Development 15, 3433–3445, 2022
24*2022
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