Mauro Perego

Scientific Machine Learning

(505) 284-3480

Sandia National Laboratories, New Mexico
P.O. Box 5800
Albuquerque, NM 87185-1320

Biography

I’m interested in mathematical, numerical and computational treatment of Partial Differential Equations (PDE) that arise from various applications, PDE constrained optimization and recently in uncertainty quantification. My favorite numerical scheme for discretizing PDEs, and the one I’m mostly experienced with, is the Galerkin finite element method. I’ve been also working on mesh-free methods, in particular on Smoothed Particle Hydrodynamics and Generalized Moving Least Squares. I’m interested in the design and analysis of numerical methods and the mathematical analysis (existence/uniqueness results) of PDEs. I am the lead of the Trilinos Discretization product.

Recently I have been working on Scientific Machine Learning, with the goal of combining learning techniques with well estabilished numerical methods.

Ice sheet dynamics: we develop a finite element multi-physics implementation (FELIX) of equations governing ice dynamics, including nonlinear Stokes-like equations for ice-flow and enthalpy equation for ice temperature . We also solve PDE constrained optimization to invert for unknown/uncertain parameters by minimizing the mismatch with observed data and climate forcings. Code is written in Albany applications and relies on several Trilinos packages.
Meshless discretization: We aim at analysing and developing consistent and compatible meshless discretizations using generalized moving least square methods. We mainly target elliptic and transport equations and data-transfer problems.
Intrepid2: We develop a finite element library that provides performant and portable high-order finite element discretizations spanning all the De Rham complex. The code is a refactoring and enhancement of the library Intrepid.
Physics Informed Learning Machines: We investigate the role of deep learning in modeling (or enhancing current models for) scientific problems. Specifically I’m targeting ice sheet modeling. We are also aim at better understadning the approximation properties of neural networks.

Education

PhD in Mathematical Engineering at Politecnico di Milano, Italy, in 2009.

Publications

Alexander Heinlein, Mauro Perego, Sivasankaran Rajamanickam, (2022). FROSch PRECONDITIONERS FOR LAND ICE SIMULATIONS OF GREENLAND AND ANTARCTICA SIAM Journal on Scientific Computing https://doi.org/10.1137/21m1395260 Publication ID: 79975

Luca Bertagna, Mauro Perego, Matthew Hoffman, (2021). Constraining subglacial hydrology with ice surface velocity observations by solving an inverse ice dynamics-subglacial hydrology problem https://doi.org/10.2172/1905434 Publication ID: 77066

Alexander Heinlein, Mauro Perego, Sivasankaran Rajamanickam, Ichitaro Yamazaki, (2021). FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica https://doi.org/10.2172/1900354 Publication ID: 76982

Marta D’Elia, Pavel Bochev, Mauro Perego, Jeremy Trageser, David Littlewood, (2021). An optimization-based strategy for peridynamic-FEM coupling and for the prescription of nonlocal boundary conditions https://doi.org/10.2172/1825041 Publication ID: 76166

Qizhi He, Mauro Perego, (2021). Modeling land ice with deep operator networks https://doi.org/10.2172/1888409 Publication ID: 75777

Tucker Hartland, Mauro Perego, Noemi Petra, (2021). Inversion of the Humboldt Glacier Basal Friction Coefficient Field in an Uncertain Ice Sheet Model https://www.osti.gov/servlets/purl/1884051 Publication ID: 75347

Nathan Roberts, Mauro Perego, (2021). Exploiting Tensor-Product Structure in High-Order Finite Elements on Next-Generation Architectures https://doi.org/10.2172/1882065 Publication ID: 79524

Mauro Perego, (2021). Advances in Modeling the Thermo-Mechanical state of Ice Sheets https://doi.org/10.2172/1873266 Publication ID: 78874

Tucker Hartland, Georg Stadler, Mauro Perego, Kim Liegeois, Noemi Petra, (2021). Hierarchical off-diagonal Hessian approximation for Bayesian inverse problems with application to the flow of the Greenland ice sheet https://doi.org/10.2172/1873285 Publication ID: 78888

Eric Cyr, Mamikon Gulian, Kookjin Lee, Ravi Patel, Mauro Perego, Nathaniel Trask, (2021). An Adaptive Basis Perspective to Improve Initialization and Accelerate Training of DNNs https://www.osti.gov/servlets/purl/1872708 Publication ID: 78814

Mauro Perego, (2021). Improving Large-Scale PDE-Constrained Optimization for Ice Sheet Initialization https://doi.org/10.2172/1853868 Publication ID: 77410

Kenneth Sockwell, Mauro Perego, (2021). Implementing Calving Laws in Ice-Sheet Models using Level Set Methods https://doi.org/10.2172/1847579 Publication ID: 77378

Eric Cyr, Mamikon Gulian, Ravi Patel, Mauro Perego, Nathaniel Trask, (2021). An Adaptive Basis Perspective to Improve Initialization and Accelerate Training of DNNs https://doi.org/10.2172/1847582 Publication ID: 77381

Alexander Heinlein, Mauro Perego, Sivasankaran Rajamanickam, (2021). FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica https://doi.org/10.2172/1763446 Publication ID: 75145

Alexander Heinlein, Mauro Perego, Sivasankaran Rajamanickam, (2020). FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica https://doi.org/10.2172/1835979 Publication ID: 72213

Pavel Bochev, Denis Ridzal, Marta D’Elia, Mauro Perego, Kara Peterson, (2020). Optimization-based, property-preserving finite element methods for scalar advection equations and their connection to Algebraic Flux Correction Computer Methods in Applied Mechanics and Engineering https://doi.org/10.1016/j.cma.2020.112982 Publication ID: 68885

Mamikon Gulian, Eric Cyr, Ravi Patel, Mauro Perego, Nathaniel Trask, (2020). Robust training and initialization of deep neural networks: an adaptive basis viewpoint https://www.osti.gov/servlets/purl/1808257 Publication ID: 74043

Eric Cyr, Mamikon Gulian, Ravi Patel, Mauro Perego, Nathaniel Trask, (2020). Robust Training and Initialization of Deep Neural Networks An Adaptive Basis Viewpoint https://www.osti.gov/servlets/purl/1810691 Publication ID: 74202

Nathaniel Trask, Pavel Bochev, Mauro Perego, (2020). A conservative, consistent, and scalable meshfree mimetic method Journal of Computational Physics https://doi.org/10.1016/j.jcp.2019.109187 Publication ID: 67460

Paul Kuberry, Mauro Perego, Nathaniel Trask, Pavel Bochev, (2020). Field reconstruction from Raviart-Thomas Nedelec and finite volume degrees-of-freedom using Generalized Moving Least Squares https://www.osti.gov/servlets/purl/1761038 Publication ID: 70722

Mauro Perego, (2020). Trilinos Discretizations Product Update https://www.osti.gov/servlets/purl/1760975 Publication ID: 70723

Pavel Bochev, N. Trask, Paul Kuberry, Mauro Perego, (2020). Mesh-Hardened Finite Element Analysis Through a Generalized Moving Least-Squares Approximation of Variational Problems Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) https://doi.org/10.1007/978-3-030-41032-2_7 Publication ID: 67278

Mauro Perego, (2020). Albany Land Ice (ALI) model focus on optimization capability https://www.osti.gov/servlets/purl/1764106 Publication ID: 71634

Mauro Perego, (2020). Ice Sheet Initialization https://www.osti.gov/servlets/purl/1763617 Publication ID: 70911

Eric Cyr, Mamikon Gulian, Ravi Patel, Mauro Perego, Nathaniel Trask, Denis Ridzal, Stefanie Guenther, Lars Ruthotto, Jacob Schroder, Nico Gauger, (2019). Improved Neural Network Training: Layer-Parallelism Least-squares and Initialization https://www.osti.gov/servlets/purl/1643364 Publication ID: 66945

Eric Cyr, Mamikon Gulian, Ravi Patel, Mauro Perego, Nathaniel Trask, (2019). Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint https://www.osti.gov/servlets/purl/1643463 Publication ID: 66738

Mauro Perego, (2019). Initialization of the thermo-mechanical state of an ice sheet model https://www.osti.gov/servlets/purl/1681090 Publication ID: 65694

Pavel Bochev, Peter Bosler, Paul Kuberry, Mauro Perego, Kara Peterson, Nathaniel Trask, (2019). Compatible Particle Discretizations. Final LDRD Report https://doi.org/10.2172/1569143 Publication ID: 65024

Ian Bogle, Karen Devine, Mauro Perego, Sivasankaran Rajamanickam, George Slota, (2019). A parallel graph algorithm for detecting mesh singularities in distributed memory ice sheet simulations ACM International Conference Proceeding Series https://doi.org/10.1145/3337821.3337841 Publication ID: 69201

Ian Bogle, Karen Devine, Mauro Perego, Sivasankaran Rajamanickam, George Slota, (2019). A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations https://doi.org/10.1145/3337821.3337841 Publication ID: 70256

Pavel Bochev, Nathaniel Trask, Mauro Perego, (2019). Mimetic meshfree methods or how to be compatible without a mesh https://www.osti.gov/servlets/purl/1641675 Publication ID: 70529

Pavel Bochev, Paul Kuberry, Nathaniel Trask, Mauro Perego, (2019). The amazing powers of Generalized Moving Least-Squares https://www.osti.gov/servlets/purl/1641676 Publication ID: 70530

Mauro Perego, Pavel Bochev, Paul Kuberry, Nathaniel Trask, (2019). Generalized Moving Least Squares: Approximation Theory and Applications https://www.osti.gov/servlets/purl/1645573 Publication ID: 69710

Paul Kuberry, Mauro Perego, Nathaniel Trask, Pavel Bochev, (2019). The Compadre Toolkit for Native Degrees-of-Freedom https://www.osti.gov/servlets/purl/1641034 Publication ID: 69548

Sivasankaran Rajamanickam, Ian Bogle, Jonathan Hu, Karen Devine, George Slota, Mauro Perego, Kyungjoo Kim, (2019). FASTMath: Kokkos Kernels and Linear Solvers https://www.osti.gov/servlets/purl/1641222 Publication ID: 69817

Mauro Perego, (2019). Discretization and Assembly using Intrepid2 and Tpetra https://www.osti.gov/servlets/purl/1640745 Publication ID: 69110

Nathaniel Trask, Pavel Bochev, Mauro Perego, (2019). Mimetic Conservation Principles for Meshfree Approximation https://www.osti.gov/servlets/purl/1640111 Publication ID: 68686

Paul Kuberry, Mauro Perego, Nathaniel Trask, Pavel Bochev, (2019). Field reconstruction from native degrees-of-freedom using the Compadre Toolkit https://www.osti.gov/servlets/purl/1640167 Publication ID: 68779

Mauro Perego, Pavel Bochev, Peter Bosler, Paul Kuberry, Kara Peterson, Nathaniel Trask, (2019). Advances in the Approximation Theory of Generalized Moving Least Squares https://www.osti.gov/servlets/purl/1640218 Publication ID: 68848

Pavel Bochev, Nathaniel Trask, Paul Kuberry, Mauro Perego, (2019). Mesh-hardened finite element analysis through a Generalized Moving Least-Squares approximation of variational problems https://doi.org/10.1007/978-3-030-41032-2_7 Publication ID: 68604

Mauro Perego, Alessandro Barone, Matthew Hoffman, (2019). Implicit Thermo-Mechanical Coupling for Ice Sheet Modeling https://www.osti.gov/servlets/purl/1640623 Publication ID: 68861

Luca Bertagna, John Jakeman, Mauro Perego, Irina Tezaur, Jerry Watkins, Andrew Salinger, Xylar Asay-Davis, Matthew Hoffman, Stephen Price, Tong Zhang, Georg Stadler, (2019). Modeling Ice Sheets with MALI https://www.osti.gov/servlets/purl/1645332 Publication ID: 68862

Mauro Perego, Pavel Bochev, Nathaniel Trask, Peter Bosler, Paul Kuberry, Kara Peterson, (2019). Advances in the Approximation Theory for Generalized Moving Least Squares https://www.osti.gov/servlets/purl/1639699 Publication ID: 67960

Mauro Perego, John Jakeman, William Severa, Lars Ruthotto, (2019). Neural Networks Surrogates of PDE-based Dynamical Systems: Application to Ice Sheet Dynamics https://www.osti.gov/servlets/purl/1639251 Publication ID: 67249

William Lipscomb, Stephen Price, Matthew Hoffman, Gunter Leguy, Andrew Bennett, Sarah Bradley, Katherine Evans, Jeremy Fyke, Joseph Kennedy, Mauro Perego, Douglas Ranken, William Sacks, Andrew Salinger, Lauren Vargo, Patrick Worley, (2019). Description and evaluation of the Community Ice Sheet Model (CISM) v2.1 Geoscientific Model Development https://doi.org/10.5194/gmd-12-387-2019 Publication ID: 66996

Marta D’Elia, Pavel Bochev, David Littlewood, Mauro Perego, (2019). Optimization-based coupling of local and nonlocal models: Applications to Peridynamics Handbook of Nonlocal Continuum Mechanics for Materials and Structures https://www.osti.gov/biblio/1393319 Publication ID: 55462

Mauro Perego, (2019). Ice Sheet Modeling: Verification Validation and UQ https://www.osti.gov/servlets/purl/1594231 Publication ID: 64395

Luca Bertagna, Mauro Perego, Matthew Hoffman, Stephen Price, (2018). Study of Greenland subglacial hydrology at medium-high resolutions https://www.osti.gov/servlets/purl/1761329 Publication ID: 60546

Paul Kuberry, Peter Bosler, Nathaniel Trask, Mauro Perego, Kara Peterson, Pavel Bochev, (2018). The Compadre Toolkit https://www.osti.gov/servlets/purl/1594258 Publication ID: 59467

Pavel Bochev, Nathaniel Trask, Paul Kuberry, Mauro Perego, Kara Peterson, Peter Bosler, (2018). Compatible meshless methods for DPEs https://www.osti.gov/servlets/purl/1806965 Publication ID: 59543

Kara Peterson, Mauro Perego, Jennifer Frederick, Lauren Wheeler, Peter Bosler, Anne Ruffing, Ryan Davis, Leanne Whitmore, Kunal Poorey, Kelly Williams, Erika Roesler, Paul Bryan, Andrew Salinger, Jasper Hardesty, Vincent Tidwell, Anup Singh, (2018). SNL/BER Review 2018 https://www.osti.gov/servlets/purl/1594318 Publication ID: 59367

John Jakeman, Mauro Perego, William Severa, (2018). Neural Networks as Surrogates of Nonlinear High-Dimensional Parameter-to-Prediction Maps https://doi.org/10.2172/1531317 Publication ID: 59302

Nathaniel Trask, Mauro Perego, Pavel Bochev, (2018). Discretely conservative meshfree schemes for conservation laws https://www.osti.gov/servlets/purl/1806699 Publication ID: 63328

Mauro Perego, Pavel Bochev, Nathaniel Trask, Peter Bosler, Paul Kuberry, Kara Peterson, (2018). Advances in the Approximation Theory for Functional Reconstructions Using GMLS and Applications to Meshless Discretization of Differential Equations https://www.osti.gov/servlets/purl/1573545 Publication ID: 63442

Pavel Bochev, Mauro Perego, Marta D’Elia, Denis Ridzal, Kara Peterson, (2018). Optimization-based property preserving finite element methods for transport equations https://www.osti.gov/servlets/purl/1525706 Publication ID: 62428

John Jakeman, Mauro Perego, Irina Tezaur, Stephen Price, Georg Stadler, (2018). Ice Sheet Initialization and Uncertainty Quantification of SeaLevel Rise https://www.osti.gov/servlets/purl/1523714 Publication ID: 62288

Mauro Perego, Luca Bertagna, Matthew Hoffman, John Jakeman, Stephen Price, Andrew Salinger, Georg Stadler, Irina Tezaur, Jerry Watkins, (2018). Ice Sheet Modeling: Computational and Mathematical Challenges https://www.osti.gov/servlets/purl/1513472 Publication ID: 62055

Mauro Perego, John Jakeman, Mauro Perego, Irina Tezaur, Stephen Price, Georg Stadler, (2018). Methodologies for Enabling Bayesian Calibration in Landice Modeling Towards Probabilistic Projections of Sealevel Change https://www.osti.gov/servlets/purl/1510847 Publication ID: 61720

Kyungjoo Kim, Mauro Perego, Nathan Ellingwood, Kara Peterson, Nathan Roberts, (2018). Intrepid2: a PerformancePortable Package for Compatible HighOrder Finite Element Discretizations https://www.osti.gov/servlets/purl/1502287 Publication ID: 61143

Brian Hong, Mauro Perego, Pavel Bochev, Amalie Frischknecht, Edward Phillips, (2018). Towards a scalable multifidelity simulation approach for electrokinetic problems at the mesoscale Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) https://doi.org/10.1007/978-3-319-73441-5_16 Publication ID: 56247

Luca Bertagna, Luca Bertagna, Max Gunzburger, Max Gunzburger, Matthew Hoffman, Matthew Hoffman, Mauro Perego, Mauro Perego, Stephen Price, Stephen Price, (2017). Sensitivity analysis for the coupling of a subglacial hydrology model with a 3D ice-sheet model https://www.osti.gov/servlets/purl/1573888 Publication ID: 54656

Mauro Perego, (2017). Discretizations Product https://www.osti.gov/servlets/purl/1488906 Publication ID: 54738

Mauro Perego, Alessandro Barone, Matthew Hoffman, (2017). Investigating an implicit thermo-mechanical model implemented in FELIX https://www.osti.gov/servlets/purl/1488907 Publication ID: 54739

John Jakeman, Mauro Perego, Irina Tezaur, Steve Price, (2017). Towards probabilistic predictions of future sea-level https://www.osti.gov/servlets/purl/1481488 Publication ID: 54018

James Cheung, Amalie Frischknecht, Mauro Perego, Pavel Bochev, (2017). A hybrid, coupled approach for modeling charged fluids from the nano to the mesoscale Journal of Computational Physics https://doi.org/10.1016/j.jcp.2017.07.030 Publication ID: 48379

Denis Ridzal, Marta D’Elia, Mauro Perego, Pavel Bochev, (2017). Property preserving finite element methods via constrained optimization https://www.osti.gov/servlets/purl/1513336 Publication ID: 53083

Nathaniel Trask, Pavel Bochev, Mauro Perego, (2017). Locally compatible meshless methods for PDEs https://www.osti.gov/servlets/purl/1471967 Publication ID: 58532

Raymond Tuminaro, Mauro Perego, Irina Tezaur, Andrew Salinger, Steven Price, (2017). Algebraic multigrid solvers for thin-domain problems: application to ice sheet modeling https://www.osti.gov/servlets/purl/1462652 Publication ID: 57648

Irina Tezaur, John Jakeman, Michael Eldred, Mauro Perego, Stephen Price, Andrew Salinger, (2017). Large-scale Deterministic Inversion and Bayesian Calibration in Land-Ice Modeling https://www.osti.gov/servlets/purl/1460158 Publication ID: 57170

Brian Hong, Mauro Perego, Pavel Bochev, Amalie Frischknecht, Edward Phillips, (2017). Towards a Scalable Multifidelity Simulation Approach for Electrokinetic Problems at the Mesoscale https://doi.org/10.1007/978-3-319-73441-5_16 Publication ID: 56709

Marta D’Elia, Pavel Bochev, Marta D’Elia, Mauro Perego, Denis Ridzal, (2017). Optimization-based property preserving finite element methods https://www.osti.gov/servlets/purl/1458218 Publication ID: 56710

Alessandro Barone, Mauro Perego, (2017). Challenges in modeling polythermal ice in large-scale ice sheet problems https://www.osti.gov/servlets/purl/1458222 Publication ID: 56712

Kara Peterson, Pavel Bochev, Mauro Perego, Xujiao Gao, (2017). Multiscale Stabilized Control Volume Finite Element Method for Advection-Diffusion https://www.osti.gov/servlets/purl/1456439 Publication ID: 55666

Luca Bertagna, Max Gunzburger, Mauro Perego, Konstantin Pieper, (2017). Coupling Between Ice Sheets Movement and Subglacial Hydrology https://www.osti.gov/servlets/purl/1425312 Publication ID: 55160

Alessandro Barone, Mauro Perego, (2017). A Three-Dimensional Implicit Thermo-Mechanical Computational Model for Polythermal Ice https://www.osti.gov/servlets/purl/1429254 Publication ID: 55416

James Cheung, Amalie Frischknecht, Mauro Perego, Pavel Bochev, (2017). A Multifidelity Approach to Effectively Compute the Steady-State Flow Of Ionic Solutions https://www.osti.gov/servlets/purl/1429255 Publication ID: 55417

Glen Hansen, Mauro Perego, cameron smith, Daniel Ibanez-Granados, Irina Tezaur, Brian Granzow, Mark Shephard, (2017). Demonstration of Unstructured Mesh Adaptation for Ice Sheet Modeling Applications https://www.osti.gov/servlets/purl/1427427 Publication ID: 55182

Raymond Tuminaro, Mauro Perego, Irina Tezaur, Andrew Salinger, Stephen Price, (2017). An algebraic multigrid linear solver for extruded meshes: application to ice sheet simulation https://www.osti.gov/servlets/purl/1456365 Publication ID: 55543

Marta D’Elia, Pavel Bochev, Mauro Perego, David Littlewood, (2017). Optimization based coupling for nonlocal and local models with applications to static peridynamics https://www.osti.gov/servlets/purl/1424841 Publication ID: 55060

David Littlewood, Marta D’Elia, Mauro Perego, Pavel Bochev, (2017). Optimization-Based Coupling for Local and Nonlocal Models https://www.osti.gov/servlets/purl/1424567 Publication ID: 55109

Kyungjoo Kim, Mauro Perego, Nathan Ellingwood, (2017). Intrepid2: Performance Portable Finite Element Discretization Library https://www.osti.gov/servlets/purl/1524492 Publication ID: 55145

Kara Peterson, Pavel Bochev, Mauro Perego, Xujiao Gao, (2017). Stabilized Control Volume Finite Element Method for Drift Diffusion https://www.osti.gov/servlets/purl/1524972 Publication ID: 54429

Glen Hansen, Andrew Bradley, Brian Granzow, Daniel Ibanez-Granados, Mario Juha, Mauro Perego, Seegyoung Seols, Mark Shephard, (2017). Mesh Adaptation in Albany https://www.osti.gov/servlets/purl/1429414 Publication ID: 53041

Nathaniel Trask, Mauro Perego, Pavel Bochev, (2017). A high-order staggered meshless method for elliptic problems SIAM Journal on Scientific Computing https://doi.org/10.1137/16M1055992 Publication ID: 46929

Roger Pawlowski, Roscoe Bartlett, Matthew Bettencourt, James Carleton, Sidafa Conde, Eric Cyr, Kyungjoo Kim, Alejandro Mota, Mauro Perego, John Shadid, Gregory Sjaardema, Alexander Toth, Andrew Bradley, William Spotz, Curtis Ober, Irina Tezaur, (2017). ECP 1.3.3.03a Develop General CS Components for ATDM Applications https://www.osti.gov/servlets/purl/1507624 Publication ID: 53357

Mauro Perego, Andrew Salinger, Stephen Price, (2017). Next generation implicit solvers and analysis algorithms for ice sheet modeling https://www.osti.gov/servlets/purl/1418221 Publication ID: 52929

Alessandro Barone, Mauro Perego, Andrew Salinger, Matthew Hoffman, Georg Stadler, Hongyu Zhu, (2017). A Three-dimensional Implicit Thermo-mechanical Computational Model for Polythermal Ice https://www.osti.gov/servlets/purl/1418222 Publication ID: 52930

Irina Tezaur, Andrew Salinger, Mauro Perego, Raymond Tuminaro, John Jakeman, Michael Eldred, Jerry Watkins, Stephen Price, Irina Demeshko, (2017). The Albany/FELIX Land-Ice Dynamical Core https://www.osti.gov/servlets/purl/1416697 Publication ID: 52719

Mauro Perego, Stephen Price, George Stadler, (2016). Ice Sheet Initialization Through Large Scale PDE-constrained Optimization https://www.osti.gov/servlets/purl/1413862 Publication ID: 48229

Alessandro Barone, Mauro Perego, Andrew Salinger, (2016). Implementation of Enthalpy Model for Polythermal Glaciers https://www.osti.gov/servlets/purl/1526832 Publication ID: 47374

Kyungjoo Kim, Mauro Perego, Nathan Ellingwood, (2016). Intrepid2: Towards Performance Portability https://www.osti.gov/servlets/purl/1526836 Publication ID: 47437

Amalie Frischknecht, James Cheung, Brian Hong, Mauro Perego, Pavel Bochev, (2016). Electrokinetic Models beyond Mean-Field Theory https://www.osti.gov/servlets/purl/1401931 Publication ID: 47208

Raymond Tuminaro, Eric Cyr, John Shadid, David Noble, Luc Berger-Vergiat, Jonathan Hu, Andrey Prokopenko, Christopher Siefert, Tobias Wiesner, Mauro Perego, Andrew Salinger, Irina Tezaur, Stephen Price, (2016). Toward Robust Scalable Algebraic Multigrid Solvers https://www.osti.gov/servlets/purl/1406967 Publication ID: 47500

David Littlewood, Marta D’Elia, Mauro Perego, Pavel Bochev, (2016). Optimization-Based Coupling for Local and Nonlocal Models https://www.osti.gov/servlets/purl/1390745 Publication ID: 52147

Irina Tezaur, Andrew Salinger, Mauro Perego, Raymond Tuminaro, Stephen Price, Jerry Watkins, Glen Hansen, (2016). The Albany/FELIX First-Order Stokes Finite Element Ice Sheet Dynamical Core Built Using Trilinos Software Components: Performance Next-Generation Capabilities and Validation https://www.osti.gov/servlets/purl/1392754 Publication ID: 52193

Nathaniel Trask, Martin Maxey, Kyungjoo Kim, Mauro Perego, Michael Parks, Kai Yang, Jinchao Xu, Wenxiao Pan, Alex Tartakovsky, (2016). A Massively Parallel Scalable Implicit SPH Solver https://www.osti.gov/servlets/purl/1422175 Publication ID: 51547

Marta D’Elia, David Littlewood, Mauro Perego, Pavel Bochev, (2016). A COUPLING STRATEGY FOR LOCAL AND NONLOCAL MODELS with applications to static peridynamics https://www.osti.gov/servlets/purl/1373156 Publication ID: 51312

Pavel Bochev, James Cheung, Marta D’Elia, Amalie Frischknecht, Michael Parks, Mauro Perego, (2016). Coupling of Multi-fidelity Models: Applications to PNP-cDFT and local-nonlocal Poisson equations https://www.osti.gov/servlets/purl/1428032 Publication ID: 50761

Marta D’Elia, Mauro Perego, Pavel Bochev, David Littlewood, (2016). A coupling strategy for nonlocal and local diffusion models with mixed volume constraints and boundary conditions Computers and Mathematics with Applications (Oxford) https://doi.org/10.1016/j.camwa.2015.12.006 Publication ID: 45172

Raymond Tuminaro, Mauro Perego, Irina Tezaur, Andrew Salinger, (2016). A Scalable Solver Algorithm to Enable Sea-Level Rise Prediction using Agile Components https://www.osti.gov/servlets/purl/1368894 Publication ID: 50321

Marta D’Elia, Mauro Perego, Pavel Bochev, David Littlewood, (2016). A coupling strategy for nonlocal and local diffusion models with mixed volume constraints and boundary conditions Computers and Mathematics with Applications https://doi.org/10.1016/j.camwa.2015.12.006 Publication ID: 46234

Irina Tezaur, John Jakeman, Michael Eldred, Mauro Perego, Andrew Salinger, Stephen Price, (2016). Towards Uncertainty Quantification in 21st Century Sea-Level Rise Predictions: Efficient Methods for Bayesian Calibration and Forward Propagation of Uncertainty for Land-Ice Models https://www.osti.gov/servlets/purl/1364846 Publication ID: 49071

Mauro Perego, S. Price, G. Stadler, Andrew Salinger, Irina Tezaur, Michael Eldred, John Jakeman, (2016). Towards Uncertainty Quantification in 21st Century SeaLevel Rise Predictions: PDE Constrained Optimization as a First Step in Bayesian Calibration and Forward Propagation https://www.osti.gov/servlets/purl/1366599 Publication ID: 49124

Mauro Perego, John Jakeman, S. Price, Andrew Salinger, G. Stadler, Irina Tezaur, (2016). Computational Challenges in Ice Sheet Modeling https://www.osti.gov/servlets/purl/1366600 Publication ID: 49125

Mauro Perego, Michael Eldred, John Jakeman, Andrew Salinger, Irina Tezaur, Stephen Price, Matthew Hoffman, (2016). Towards quantifying uncertainty in Greenland’s contribution to 21st century sea-level rise https://www.osti.gov/servlets/purl/1339212 Publication ID: 46654

Irina Tezaur, Andrew Salinger, Mauro Perego, Raymond Tuminaro, (2016). Component-based application code development, part 2: https://www.osti.gov/servlets/purl/1422149 Publication ID: 46706

R. Tuminaro, Mauro Perego, I. Tezaur, Andrew Salinger, S. Price, (2016). A matrix dependent/algebraic multigrid approach for extruded meshes with applications to ice sheet modeling SIAM Journal on Scientific Computing https://doi.org/10.1137/15m1040839 Publication ID: 45731

Andrew Salinger, Irina Tezaur, Mauro Perego, (2016). Component-Based Application Code Development Part 1: The AgileComponents Strategy and Albany Code https://www.osti.gov/servlets/purl/1341366 Publication ID: 46828

Mauro Perego, Stephen Price, Matthew Hoffman, Andrew Salinger, (2015). SemiImplicit Coupling of Ice Sheet Momentum and Thickness Evolution Equations https://www.osti.gov/servlets/purl/1338289 Publication ID: 42053

Nathaniel Trask, Martin Maxey, Kyungjoo Kim, Mauro Perego, Michael Parks, Kai Yang, Wenxiao Pan, Alex Tartakovsky, (2015). A Massively Parallel Scalable Implicit SPH Solver https://www.osti.gov/servlets/purl/1337919 Publication ID: 42162

Irina Tezaur, Andrew Salinger, Mauro Perego, Raymond Tuminaro, (2015). Component-Based Application Code Development Part 2: Demonstration on a Land-Ice Model and Proposed Extension to Other Climate Components https://www.osti.gov/servlets/purl/1333792 Publication ID: 41729

Andrew Salinger, Andrew Bradley, Irina Demeshko, Glen Hansen, Mauro Perego, Eric Phipps, Irina Tezaur, Raymond Tuminaro, Brian Granzow, Dan Ibanez, Mark Shephard, (2015). Albany: Integrating Algorithmic Components to Build Advanced Applications https://www.osti.gov/servlets/purl/1333895 Publication ID: 41716

Mauro Perego, Marta D’Elia, Pavel Bochev, David Littlewood, (2015). A coupling strategy for Local and Nonlocal continuum models https://www.osti.gov/servlets/purl/1336328 Publication ID: 45994

Irina Tezaur, Andrew Salinger, Mauro Perego, John Jakeman, Michael Eldred, Irina Demeshko, Raymond Tuminaro, Stephen Price, (2015). Albany/FELIX: A Robust & Scalable Trilinos-Based Finite-Element Ice Flow Dycore Built for Advanced Architectures & Analysis https://www.osti.gov/servlets/purl/1301963 Publication ID: 44874

Kyungjoo Kim, Nathaniel Trask, Martin Maxey, Mauro Perego, Michael Parks, Kai Yang, Jinchao Xu, (2015). Development of Scalable Parallel Implicit SPH using LAMMPS and Trilinos https://www.osti.gov/servlets/purl/1530974 Publication ID: 44919

Marta D’Elia, Mauro Perego, Pavel Bochev, David Littlewood, (2015). A coupling strategy for Local and Nonlocal continuum models https://www.osti.gov/servlets/purl/1289561 Publication ID: 44926

Mauro Perego, Stephen Price, Matthew Hoffman, Andrew Salinger, Pavel Bochev, Max Gunzburger, (2015). Coupling of Momentum Balance and Thickness Evolution Equations for Ice Sheet Modeling https://www.osti.gov/servlets/purl/1312674 Publication ID: 45244

Mauro Perego, (2015). Ice Sheet Dynamics: High-Order Approximation on the Sphere https://www.osti.gov/servlets/purl/1261588 Publication ID: 44300

Nathaniel Trask, Kyungjoo Kim, Alexadre Tartakovsky, Mauro Perego, Michael Parks, (2015). A Highly-Scalable Implicit SPH Code for Simulating Single- and Multi-phase Flows in Geometrically Complex Bounded Domains https://www.osti.gov/servlets/purl/1261589 Publication ID: 44301

Irina Tezaur, Mauro Perego, Raymond Tuminaro, Andrew Salinger, John Jakeman, Michael Eldred, Lili Ju, Tong Zhang, Max Gunzburger, Stephen Price, (2015). Progress on the PISCEES FELIX Ice Sheet Dynamical Cores https://www.osti.gov/servlets/purl/1576124 Publication ID: 44422

Mauro Perego, (2015). Coupling ice sheet momentum and thickness evolution equations https://www.osti.gov/servlets/purl/1255029 Publication ID: 43626

Irina Tezaur, Raymond Tuminaro, Mauro Perego, Andrew Salinger, Steven Price, (2015). 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 https://www.osti.gov/servlets/purl/1258248 Publication ID: 43487

Michael Eldred, Patrick Heimbach, Charles Jackson, John Jakeman, Mauro Perego, Stephen, Price, Andrew Salinger, Georg Stadler, Irina Tezaur, (2015). From Deterministic Inversion to Uncertainty Quantification: Planning a Long Journey in Ice Sheet Modeling https://www.osti.gov/servlets/purl/1246877 Publication ID: 42859

Mauro Perego, Stephen Price, Georg Stadler, Michael Eldred, Charles Jackson, John Jakeman, Andrew Salinger, Irina Tezaur, (2015). Advances in Ice Sheet Model Initialization Using the First Order Model https://www.osti.gov/servlets/purl/1245907 Publication ID: 42508

Kyungjoo Kim, Mauro Perego, Michael Parks, (2015). Efficient Parallel Implementation of Implicit SPH/MLS using LAMMPS and Trilinos https://www.osti.gov/servlets/purl/1889613 Publication ID: 42557

Irina Tezaur, Andrew Salinger, Mauro Perego, Raymond Tuminaro, (2015). On the Development & Performance of a First Order Stokes Finite Element Ice Sheet Dycore Built Using Trilinos Software Components https://www.osti.gov/servlets/purl/1241279 Publication ID: 42386

Wenxiao Pan, Mauro Perego, (2015). Applications in Mesoscopic Modeling of Materials https://www.osti.gov/servlets/purl/1889793 Publication ID: 42430

Raymond Tuminaro, Irina Tezaur, Mauro Perego, Andrew Salinger, Steve Price, (2015). A Hybrid Operator Dependent MG / AMG Approach: Application to Ice Sheet Modeling https://www.osti.gov/servlets/purl/1331648 Publication ID: 42701

Mauro Perego, Stephen Price, Georg Stadler, Irina Tezaur, Andrew Salinger, (2015). An Ice Sheet Model Initialization Procedure for Smooth Coupling with Climate Forcing https://www.osti.gov/servlets/purl/1244899 Publication ID: 41271

Irina Tezaur, Mauro Perego, Andrew Salinger, Raymond Tuminaro, Stephen Price, (2015). Update on the Albany/FELIX First Order Stokes Solver and the CISM-Albany and MPAS-Albany Dycores https://www.osti.gov/servlets/purl/1504179 Publication ID: 41372

Irina Tezaur, Raymond Tuminaro, Mauro Perego, Andrew Salinger, Stephen Price, (2015). 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 Procedia Computer Science https://www.osti.gov/servlets/purl/1244863 Publication ID: 41199

Mauro Perego, Kyungjoo Kim, M. Maxey, W. Pan, Michael Parks, N. Trask, Christopher Siefert, (2014). A Parallel Implicit Implementation of Smoothed Paricle Hydrodynamics for Electrokinetic Applications https://www.osti.gov/servlets/purl/1315417 Publication ID: 39869

Mauro Perego, Andrew Salinger, Eric Phipps, Denis Ridzal, Drew Kouri, Irina Tezaur, S. Price, G. Stadler, (2014). Adjoint-based Deterministic Inversion for Ice Sheets https://www.osti.gov/servlets/purl/1242148 Publication ID: 39370

Kara Peterson, Pavel Bochev, Mauro Perego, Xujiao Gao, (2014). Implementation of a Second-Order Stabilized CVFEM using Intrepid https://www.osti.gov/servlets/purl/1367642 Publication ID: 39418

Nathaniel Trask, Martin Maxey, Kyungjoo Kim, Mauro Perego, Michael Parks, Kai Yang, Jinchao Xu, (2014). A consistent second order projection scheme for simulating transient viscous flow with Smoothed Particle Hydrodynamics CMAME https://www.osti.gov/biblio/1183073 Publication ID: 38042

Mauro Perego, (2014). Greenland Icesheet Initialization: Optimal Control and Bayesian Calibration Approaches https://www.osti.gov/servlets/purl/1496702 Publication ID: 37531

Mauro Perego, (2014). PISCEES Development of the FELIX Dynamical Cores for Land Ice Modeling https://www.osti.gov/servlets/purl/1494278 Publication ID: 37816

Irina Tezaur, Andrew Salinger, Mauro Perego, Raymond Tuminaro, Stephen Price, (2014). An Update on the Albany/FELIX First- Order Stokes Finite Element Solver & Its Coupling to Land Ice Dycores https://www.osti.gov/servlets/purl/1497517 Publication ID: 37350

Pavel Bochev, Mauro Perego, Xujiao Gao, Kara Peterson, (2014). A New Control Volume Finite Element Method for the Drift-Diffusion Equations on Unstructured Grids https://www.osti.gov/servlets/purl/1497520 Publication ID: 37357

Mauro Perego, (2014). Optimal Initial Conditions for Coupling Ice Sheet Models to Earth System Models Journal of Geophysical Research https://doi.org/10.1002/2014JF003181 Publication ID: 40294

Pavel Bochev, Mauro Perego, Kara Peterson, (2014). FORMULATION AND ANALYSIS OF A PARAMETER-FREE STABILIZED FINITE ELEMENT METHOD SIAM Journal on Numerical Analysis https://www.osti.gov/biblio/1141394 Publication ID: 40210

Andrew Salinger, Mauro Perego, Raymond Tuminaro, (2014). The Albany/FELIX First Order Stokes Dycore https://www.osti.gov/servlets/purl/1140556 Publication ID: 36966

Irina Tezaur, Andrew Salinger, Mauro Perego, Raymond Tuminaro, John Jakeman, (2014). FELIX: The Albany Ice Sheet Modeling Code https://www.osti.gov/servlets/purl/1140457 Publication ID: 36741

Mauro Perego, Andrew Salinger, (2013). Modeling icesheets dynamics: forward and inverse problems https://www.osti.gov/servlets/purl/1115048 Publication ID: 35511

Andrew Salinger, Irina Tezaur, Mauro Perego, Raymond Tuminaro, Michael Eldred, John Jakeman, (2013). Rapid Development of an Ice Sheet Climate Application using the Components-Based Approach https://www.osti.gov/servlets/purl/1661056 Publication ID: 33356

Mauro Perego, Michael Eldred, Andrew Salinger, Irina Tezaur, (2013). FELIX: advances in modeling forward and inverse icesheet problems https://www.osti.gov/biblio/1073162 Publication ID: 32901

Andrew Salinger, Mauro Perego, (2013). FELIX: advances in modeling forward and inverse ice-sheet problems https://www.osti.gov/servlets/purl/1115922 Publication ID: 32228

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