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Mauro Perego
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2020 – today
- 2023
- [j21]Irina Tezaur
, Josefin Ahlkrona
, Matthew J. Hoffman
, Mauro Perego
:
Computational Modeling of Ice Sheets and Glaciers. Comput. Sci. Eng. 25(3): 4-6 (2023) - [j20]Jerry Watkins
, Max Carlson, Kyle Shan, Irina Tezaur, Mauro Perego
, Luca Bertagna
, Carolyn Kao, Matthew J. Hoffman, Stephen F. Price
:
Performance portable ice-sheet modeling with MALI. Int. J. High Perform. Comput. Appl. 37(5): 600-625 (2023) - [j19]James Cheung, Mauro Perego, Pavel B. Bochev
, Max D. Gunzburger:
A coupling approach for linear elasticity problems with spatially non-coincident discretized interfaces. J. Comput. Appl. Math. 425: 115027 (2023) - [j18]Kim Liegeois
, Mauro Perego, Tucker Hartland:
PyAlbany: A Python interface to the C++ multiphysics solver Albany. J. Comput. Appl. Math. 425: 115037 (2023) - [j17]QiZhi He
, Mauro Perego
, Amanda A. Howard, George Em Karniadakis, Panos Stinis:
A hybrid deep neural operator/finite element method for ice-sheet modeling. J. Comput. Phys. 492: 112428 (2023) - [j16]Amanda A. Howard
, Mauro Perego, George Em Karniadakis, Panos Stinis
:
Multifidelity deep operator networks for data-driven and physics-informed problems. J. Comput. Phys. 493: 112462 (2023) - [i6]Tucker Hartland, Georg Stadler, Mauro Perego, Kim Liegeois, Noemi Petra:
Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initializaiton. CoRR abs/2301.03644 (2023) - [i5]QiZhi He, Mauro Perego, Amanda A. Howard, George Em Karniadakis, Panos Stinis:
A Hybrid Deep Neural Operator/Finite Element Method for Ice-Sheet Modeling. CoRR abs/2301.11402 (2023) - 2022
- [j15]Alexander Heinlein
, Mauro Perego, Sivasankaran Rajamanickam:
FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica. SIAM J. Sci. Comput. 44(2): 339- (2022) - [i4]Jerry Watkins, Max Carlson, Kyle Shan, Irina Tezaur, Mauro Perego, Luca Bertagna, Carolyn Kao, Matthew J. Hoffman, Stephen F. Price
:
Performance portable ice-sheet modeling with MALI. CoRR abs/2204.04321 (2022) - [i3]Amanda A. Howard
, Mauro Perego, George E. Karniadakis, Panos Stinis:
Multifidelity Deep Operator Networks. CoRR abs/2204.09157 (2022) - 2021
- [i2]Marta D'Elia, David J. Littlewood, Jeremy Trageser, Mauro Perego, Pavel B. Bochev:
An optimization-based strategy for peridynamic-FEM coupling and for the prescription of nonlocal boundary conditions. CoRR abs/2110.04420 (2021) - 2020
- [j14]Nathaniel Trask, Pavel B. Bochev
, Mauro Perego:
A conservative, consistent, and scalable meshfree mimetic method. J. Comput. Phys. 409: 109187 (2020) - [c5]Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask:
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. MSML 2020: 512-536
2010 – 2019
- 2019
- [j13]Nathaniel Trask, Pavel B. Bochev, Mauro Perego:
Mitigation of the self-force effect in unstructured PIC codes using generalized moving least squares. Comput. Math. Appl. 78(2): 688-705 (2019) - [j12]James Cheung, Mauro Perego, Pavel B. Bochev, Max D. Gunzburger:
Optimally accurate higher-order finite element methods for polytopial approximations of domains with smooth boundaries. Math. Comput. 88(319): 2187-2219 (2019) - [c4]Ian Bogle, Karen D. Devine, Mauro Perego, Sivasankaran Rajamanickam, George M. Slota:
A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations. ICPP 2019: 1:1-1:10 - [c3]Pavel B. Bochev, Nathaniel Trask, Paul Kuberry, Mauro Perego:
Mesh-Hardened Finite Element Analysis Through a Generalized Moving Least-Squares Approximation of Variational Problems. LSSC 2019: 67-75 - [i1]Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask:
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. CoRR abs/1912.04862 (2019) - 2017
- [j11]Wenxiao Pan
, Kyungjoo Kim, Mauro Perego, Alexandre M. Tartakovsky, Michael L. Parks:
Modeling electrokinetic flows by consistent implicit incompressible smoothed particle hydrodynamics. J. Comput. Phys. 334: 125-144 (2017) - [j10]James Cheung, Amalie L. Frischknecht
, Mauro Perego, Pavel B. Bochev:
A hybrid, coupled approach for modeling charged fluids from the nano to the mesoscale. J. Comput. Phys. 348: 364-384 (2017) - [j9]Nathaniel Trask, Mauro Perego, Pavel B. Bochev:
A High-Order Staggered Meshless Method for Elliptic Problems. SIAM J. Sci. Comput. 39(2) (2017) - [c2]Brian D. Hong, Mauro Perego, Pavel B. Bochev, Amalie L. Frischknecht, Edward G. Phillips:
Towards a Scalable Multifidelity Simulation Approach for Electrokinetic Problems at the Mesoscale. LSSC 2017: 156-164 - 2016
- [j8]Marta D'Elia, Mauro Perego, Pavel B. Bochev, David J. Littlewood:
A coupling strategy for nonlocal and local diffusion models with mixed volume constraints and boundary conditions. Comput. Math. Appl. 71(11): 2218-2230 (2016) - [j7]Ray S. Tuminaro, Mauro Perego, Irina K. Tezaur, Andrew G. Salinger, Stephen F. Price
:
A Matrix Dependent/Algebraic Multigrid Approach for Extruded Meshes with Applications to Ice Sheet Modeling. SIAM J. Sci. Comput. 38(5) (2016) - 2015
- [j6]Pavel B. Bochev, Mauro Perego, Kara Peterson
:
Formulation and Analysis of a Parameter-Free Stabilized Finite Element Method. SIAM J. Numer. Anal. 53(5): 2363-2388 (2015) - [c1]Irina K. Tezaur, Raymond S. Tuminaro, Mauro Perego, Andrew G. Salinger, Stephen F. Price
:
On the Scalability of the Albany/FELIX first-order Stokes Approximation ice Sheet Solver for Large-Scale Simulations of the Greenland and Antarctic ice Sheets. ICCS 2015: 2026-2035 - 2013
- [j5]Qingshan Chen, Max D. Gunzburger, Mauro Perego:
Well-Posedness Results for a Nonlinear Stokes Problem Arising in Glaciology. SIAM J. Math. Anal. 45(5): 2710-2733 (2013) - 2012
- [j4]Katherine J. Evans
, Andrew G. Salinger, Patrick H. Worley, Stephen F. Price
, William H. Lipscomb, Jeffrey A. Nichols, James B. White III
, Mauro Perego, Mariana Vertenstein, James Edwards, Jean-François Lemieux:
A modern solver interface to manage solution algorithms in the Community Earth System Model. Int. J. High Perform. Comput. Appl. 26(1): 54-62 (2012) - [j3]Marta D'Elia, Mauro Perego, Alessandro Veneziani:
A Variational Data Assimilation Procedure for the Incompressible Navier-Stokes Equations in Hemodynamics. J. Sci. Comput. 52(2): 340-359 (2012) - 2011
- [j2]Mauro Perego, Alessandro Veneziani, Christian Vergara:
A Variational Approach for Estimating the Compliance of the Cardiovascular Tissue: An Inverse Fluid-Structure Interaction Problem. SIAM J. Sci. Comput. 33(3): 1181-1211 (2011)
2000 – 2009
- 2009
- [j1]Luca Gerardo-Giorda
, L. Mirabella, Fabio Nobile
, Mauro Perego, Alessandro Veneziani:
A model-based block-triangular preconditioner for the Bidomain system in electrocardiology. J. Comput. Phys. 228(10): 3625-3639 (2009)
Coauthor Index
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