H. Turbé,
M. Bjelogrlic,
C. Lovis,
G. Mengaldo ,
Evaluation of post-hoc interpretability methods in time-series classification,
Nature Machine Intelligence.
A. Gualandi,
D. Faranda,
C. Marone,
M. Cocco,
G. Mengaldo ,
Deterministic and stochastic chaos characterize laboratory earthquakes,
Earth and Planetary Science Letters.
2022
A. Lario,
R. Maulik,
O. T. Schmidt,
G. Rozza,
G. Mengaldo ,
Neural-network learning of SPOD latent dynamics,
Journal of Computational Physics.
R. Maulik,
V. Rao,
J. Wang,
G. Mengaldo ,
E. Constantinescu,
B. Lusch,
P. Balaprakash,
I. Foster,
R. Kotamarthi,
Efficient high-dimensional variational data assimilation with machine-learned reduced-order models,
Geoscientific Model Development.
M. W. Hess,
A. Lario,
G. Mengaldo ,
G. Rozza,
Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives,
arXiv preprint arXiv:2201.05404.
G. Mengaldo ,
F. Renda,
S. L. Brunton,
M. Bächer,
M. Calisti,
C. Duriez,
G. S. Chirikjian,
C. Laschi,
A concise guide to modelling the physics of embodied intelligence in soft robotics,
Nature Reviews Physics.
R. C. Moura,
A. F. C. Silva,
G. Mengaldo ,
S. J. Sherwin,
Spectral/hp element methods' linear mechanism of (apparent) energy transfer in Fourier space: Insights into dispersion analysis for implicit LES,
Journal of Computational Physics.
2021
G. Mengaldo ,
R. Maulik,
Pyspod: A python package for spectral proper orthogonal decomposition (spod),
Journal of Open Source Software.
R. Maulik,
G. Mengaldo ,
PyParSVD: A streaming, distributed and randomized singular-value-decomposition library,
2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-7).
N. Tonicello,
R. C. Moura,
G. Lodato,
G. Mengaldo ,
Fully-discrete spatial eigenanalysis of discontinuous spectral element methods: insights into well-resolved and under-resolved vortical flows,
arXiv preprint arXiv:2111.13891.
G. Mengaldo ,
D. Moxey,
M. Turner,
R. C. Moura,
A. Jassim,
M. Taylor,
J. Peiró,
and S. J. Sherwin,
Industry-Relevant Implicit Large-Eddy Simulation of a High-Performance Road Car via Spectral/hp Element Methods,
SIAM Review.
2020
D. Moxey,
C. D. Cantwell,
Y. Bao,
A. Cassinelli,
G. Castiglioni,
S. Chun,
E. Juda,
E. Kazemi,
K. Lackhove,
J. Marcon,
G. Mengaldo ,
D. Serson,
M. Turner,
H. Xu,
J. Peiró,
R. M. Kirby,
S. J. Sherwin;,
Nektar++: Enhancing the capability and application of high-fidelity spectral/hp element methods,
Computer Physics Communications.
B. Dorschner,
K. Yu,
G. Mengaldo ,
T. Colonius,
A fast multi-resolution lattice Green's function method for elliptic difference equations,
Journal of Computational Physics.
R. C. Moura,
P. Fernandez,
G. Mengaldo ,
S. J. Sherwin,
Viscous diffusion effects in the eigenanalysis of (hybridisable) DG methods,
Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018.
2019
P. Fernandez,
R. C. Moura,
G. Mengaldo ,
J. Peraire,
Non-modal analysis of spectral element methods: Towards accurate and robust large-eddy simulations,
Computer Methods in Applied Mechanics and Engineering.
O. T. Schmidt,
G. Mengaldo ,
G. Balsamo,
N. P. Wedi,
Spectral empirical orthogonal function analysis of weather and climate data,
Monthly Weather Review.
G. Mengaldo ,
Batch 1: definition of several weather & climate dwarfs,
arXiv preprint arXiv:1908.06089.
A. Müller,
W. Deconinck,
C. Kühnlein,
G. Mengaldo ,
M. Lange,
N. P. Wedi,
P. Bauer,
P. K. Smolarkiewicz,
M. Diamantakis,
S.-J. Lock,
The ESCAPE project: energy-efficient scalable algorithms for weather prediction at exascale,
Geoscientific Model Development.
2018
G. Mengaldo ,
R.C. Moura,
B. Giralda,
J. Peiró,
S. J. Sherwin,
Spatial eigensolution analysis of discontinuous Galerkin schemes with practical insights for under-resolved computations and implicit LES,
Computers & Fluids.
A. R. Winters,
R. C. Moura,
G. Mengaldo ,
G. J. Gassner,
S. Walch,
J. Peiro,
S. J. Sherwin,
A comparative study on polynomial dealiasing and split form discontinuous Galerkin schemes for under-resolved turbulence computations,
Journal of Computational Physics.
G. Mengaldo ,
A. A. Wyszogrodzki,
M. Diamantakis,
S.-J. Lock,
F. X. Giraldo,
N. P. Wedi,
Current and emerging time-integration strategies in global numerical weather and climate prediction,
Archives of Computational Methods in Engineering.
G. Mengaldo ,
D. De Grazia,
R. C. Moura,
S. J. Sherwin,
Spatial eigensolution analysis of energy-stable flux reconstruction schemes and influence of the numerical flux on accuracy and robustness,
Journal of Computational Physics.
2017
R. C. Moura,
G. Mengaldo ,
J. Peiró,
S. J. Sherwin,
On the eddy-resolving capability of high-order discontinuous Galerkin approaches to implicit LES/under-resolved DNS of Euler turbulence,
Journal of Computational Physics.
R. C. Moura,
G. Mengaldo ,
J. Peiró,
S. J. Sherwin,
An LES setting for DG-based implicit LES with insights on dissipation and robustness,
Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2016.
G. Mengaldo ,
S. Liska,
K. Yu,
T. Colonius,
T. Jardin,
Immersed boundary lattice Green function methods for external aerodynamics,
23rd AIAA Computational Fluid Dynamics Conference.
W. Deconinck,
P. Bauer,
M. Diamantakis,
M. Hamrud,
C. Kühnlein,
P. Maciel,
G. Mengaldo ,
T. Quintino,
B. Raoult,
P. K. Smolarkiewicz,
Atlas: A library for numerical weather prediction and climate modelling,
Computer Physics Communications.
D. Moxey,
C. D. Cantwell,
G. Mengaldo ,
D. Serson,
D. Ekelschot,
J. Peiró,
S. J. Sherwin,
R. M. Kirby,
Towards p-adaptive spectral/hp element methods for modelling industrial flows,
Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2016.
2016
G. Mengaldo ,
D. De Grazia,
P. E. Vincent,
S. J. Sherwin,
On the connections between discontinuous Galerkin and flux reconstruction schemes: extension to curvilinear meshes,
Journal of Scientific Computing.
2015
C. D. Cantwell,
D. Moxey,
A. Comerford,
A. Bolis,
G. Rocco,
G. Mengaldo ,
D. De Grazia,
S. Yakovlev,
J.-E. Lombard,
D. Ekelschot,
B. Jordi,
H. Xu,
Y. Mohamied,
C. Eskilsson,
B. Nelson,
P. Vos,
C. Biotto,
R. M. Kirby,
S. J. Sherwin;,
Nektar++: An open-source spectral/hp element framework,
Computer Physics Communications.
G. Mengaldo ,
M. Kravtsova,
A. I. Ruban,
S. J. Sherwin,
Triple-deck and direct numerical simulation analyses of high-speed subsonic flows past a roughness element,
Journal of Fluid Mechanics.
G. Mengaldo ,
D. De Grazia,
D. Moxey,
P. E. Vincent,
S. J. Sherwin,
Dealiasing techniques for high-order spectral element methods on regular and irregular grids,
Journal of Computational Physics.
2014
D. De Grazia,
G. Mengaldo ,
D. Moxey,
P. E. Vincent,
S. J. Sherwin,
Connections between the discontinuous Galerkin method and high‐order flux reconstruction schemes,
International Journal for Numerical Methods in Fluids.
G. Mengaldo ,
D. De Grazia,
J. Peiro,
A. Farrington,
F. Witherden,
P. E. Vincent,
S. J. Sherwin,
A Guide to the Implementation of Boundary Conditions in Compact High-Order Methods for Compressible Aerodynamics,
AIAA Aviation 2014.
PhD Thesis
2015
G. Mengaldo,
Discontinuous spectral/hp element methods: development, analysis and applications to compressible flows.
