A model-based block-triangular preconditioner for the Bidomain system in electrocardiology. - Luca Gerardo-Giorda; L. Mirabella; Fabio Nobile; Mauro Perego; Alessandro Veneziani (J. Comput. Phys., 2009)

A Variational Approach for Estimating the Compliance of the Cardiovascular Tissue: An Inverse Fluid-Structure Interaction Problem. - Mauro Perego; Alessandro Veneziani; Christian Vergara (SIAM J. Sci. Comput., 2011)

A modern solver interface to manage solution algorithms in the Community Earth System Model. - 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 001; Jean-François Lemieux (Int. J. High Perform. Comput. Appl., 2012)

A Variational Data Assimilation Procedure for the Incompressible Navier-Stokes Equations in Hemodynamics. - Marta D'Elia; Mauro Perego; Alessandro Veneziani (J. Sci. Comput., 2012)

Well-Posedness Results for a Nonlinear Stokes Problem Arising in Glaciology. - Qingshan Chen; Max D. Gunzburger; Mauro Perego (SIAM J. Math. Anal., 2013)

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. - Irina K. Tezaur; Raymond S. Tuminaro; Mauro Perego; Andrew G. Salinger; Stephen F. Price (ICCS, 2015)

Formulation and Analysis of a Parameter-Free Stabilized Finite Element Method. - Pavel B. Bochev; Mauro Perego; Kara Peterson (SIAM J. Numer. Anal., 2015)

A coupling strategy for nonlocal and local diffusion models with mixed volume constraints and boundary conditions. - Marta D'Elia; Mauro Perego; Pavel B. Bochev; David J. Littlewood (Comput. Math. Appl., 2016)

A Matrix Dependent/Algebraic Multigrid Approach for Extruded Meshes with Applications to Ice Sheet Modeling. - Ray S. Tuminaro; Mauro Perego; Irina K. Tezaur; Andrew G. Salinger; Stephen F. Price (SIAM J. Sci. Comput., 2016)

Towards a Scalable Multifidelity Simulation Approach for Electrokinetic Problems at the Mesoscale. - Brian D. Hong; Mauro Perego; Pavel B. Bochev; Amalie L. Frischknecht; Edward G. Phillips (LSSC, 2017)

A hybrid, coupled approach for modeling charged fluids from the nano to the mesoscale. - James Cheung; Amalie L. Frischknecht; Mauro Perego; Pavel B. Bochev (J. Comput. Phys., 2017)

Modeling electrokinetic flows by consistent implicit incompressible smoothed particle hydrodynamics. - Wenxiao Pan; Kyungjoo Kim; Mauro Perego; Alexandre M. Tartakovsky; Michael L. Parks (J. Comput. Phys., 2017)

A High-Order Staggered Meshless Method for Elliptic Problems. - Nathaniel Trask; Mauro Perego; Pavel B. Bochev (SIAM J. Sci. Comput., 2017)

A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations. - Ian Bogle; Karen D. Devine; Mauro Perego; Sivasankaran Rajamanickam; George M. Slota (ICPP, 2019)

Mesh-Hardened Finite Element Analysis Through a Generalized Moving Least-Squares Approximation of Variational Problems. - Pavel B. Bochev; Nathaniel Trask; Paul Kuberry; Mauro Perego (LSSC, 2019)

Mitigation of the self-force effect in unstructured PIC codes using generalized moving least squares. - Nathaniel Trask; Pavel B. Bochev; Mauro Perego (Comput. Math. Appl., 2019)

Optimally accurate higher-order finite element methods for polytopial approximations of domains with smooth boundaries. - James Cheung; Mauro Perego; Pavel B. Bochev; Max D. Gunzburger (Math. Comput., 2019)

Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. - Eric C. Cyr; Mamikon A. Gulian; Ravi G. Patel; Mauro Perego; Nathaniel A. Trask (MSML, 2020)

A conservative, consistent, and scalable meshfree mimetic method. - Nathaniel Trask; Pavel B. Bochev; Mauro Perego (J. Comput. Phys., 2020)

An optimization-based strategy for peridynamic-FEM coupling and for the prescription of nonlocal boundary conditions. - Marta D'Elia; David J. Littlewood; Jeremy Trageser; Mauro Perego; Pavel B. Bochev (CoRR, 2021)

Multifidelity Deep Operator Networks. - Amanda A. Howard; Mauro Perego; George E. Karniadakis; Panos Stinis (CoRR, 2022)

FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica. - Alexander Heinlein; Mauro Perego; Sivasankaran Rajamanickam (SIAM J. Sci. Comput., 2022)

Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initializaiton. - Tucker Hartland; Georg Stadler; Mauro Perego; Kim Liegeois; Noemi Petra (CoRR, 2023)

Computational Modeling of Ice Sheets and Glaciers. - Irina Tezaur; Josefin Ahlkrona; Matthew J. Hoffman 004; Mauro Perego (Comput. Sci. Eng., 2023)

A coupling approach for linear elasticity problems with spatially non-coincident discretized interfaces. - James Cheung; Mauro Perego; Pavel B. Bochev; Max D. Gunzburger (J. Comput. Appl. Math., 2023)

PyAlbany: A Python interface to the C++ multiphysics solver Albany. - Kim Liegeois; Mauro Perego; Tucker Hartland (J. Comput. Appl. Math., 2023)

Performance portable ice-sheet modeling with MALI. - Jerry Watkins; Max Carlson; Kyle Shan; Irina Tezaur; Mauro Perego; Luca Bertagna; Carolyn Kao; Matthew J. Hoffman 004; Stephen F. Price (Int. J. High Perform. Comput. Appl., 2023)

A hybrid deep neural operator/finite element method for ice-sheet modeling. - QiZhi He; Mauro Perego; Amanda A. Howard; George Em Karniadakis; Panos Stinis (J. Comput. Phys., 2023)

Multifidelity deep operator networks for data-driven and physics-informed problems. - Amanda A. Howard; Mauro Perego; George Em Karniadakis; Panos Stinis (J. Comput. Phys., 2023)

Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale. - Matthias Mayr; Alexander Heinlein; Christian A. Glusa; Siva Rajamanickam; Maarten Arnst; Roscoe A. Bartlett; Luc Berger-Vergiat; Erik G. Boman; Karen D. Devine; Graham Harper; Michael A. Heroux; Mark Hoemmen; et al. (CoRR, 2025)