Publications

Howard, A.A., Perego, M., Karniadakis, G.E., & Stinis, P. (2023). Multifidelity deep operator networks for data-driven and physics-informed problems [Presentation]. Journal of Computational Physics. 10.1016/j.jcp.2023.112462

Hartland, T., Stadler, G., Perego, M., Liegeois, K.A.J., & Petra, N. (2023). Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initialization. Inverse Problems, 39(8). 10.1088/1361-6420/acd719

Perego, M. (2023). A Hybrid Operator Network/Finite Element Method for Ice-Sheet Modeling [Conference Presentation]. 10.2172/2430522

Jakeman, J.D., Perego, M., Seidl, D.T., Hillebrand, T., Hoffman, M., & Price, S. (2023). Ice Sheet Models of Different Fidelity for Uncertainty Quantification [Conference Presentation]. 10.2172/2430524

Liegeois, K.A.J., Perego, M., & Stadler, G. (2023). Computational Efficient Estimation of the Extreme Event Probability of the Mass Loss of Antarctic Glaciers [Conference Presentation]. 10.2172/2430607

Roberts, N.V., & Perego, M. (2023). Trilinos Discretizations Product Update [Conference Presentation]. 10.2172/2430853

Perego, M. (2023). An Optimal Modal Finite-Element Discretization For Ice-Sheet Modeling [Conference Presentation]. 10.2172/2431411

Perego, M., & Stadler, G. (2023). Computationally efficient estimation of the extreme event probability of the mass loss of Greenland and Antarctic ice sheets [Conference Presentation]. 10.2172/2431954

Watkins, J.E., Carlson, M.L., Tezaur, I.K., Perego, M., & Hu, J.J. (2023). Performance portable extensions to ice-sheet modeling in MALI [Conference Presentation]. 10.2172/2432205

Perego, M. (2023). Computational Challenges in Designing Robust Solvers for Ice Sheet Modeling [Conference Presentation]. 10.2172/2431878

Liegeois, K.A.J., Perego, M., & Hartland, T. (2022). PyAlbany: A Python interface to the C++ multiphysics solver Albany. Journal of Computational and Applied Mathematics, 425. 10.1016/j.cam.2022.115037

Cheung, J., Perego, M., Bochev, P.B., & Gunzburger, M.D. (2022). A coupling approach for linear elasticity problems with spatially non-coincident discretized interfaces. Journal of Computational and Applied Mathematics, 425. 10.1016/j.cam.2022.115027

Book, C., Hoffman, M.J., Kachuck, S.B., Hillebrand, T.R., Price, S.F., Perego, M., & Bassis, J.N. (2022). Stabilizing effect of bedrock uplift on retreat of Thwaites Glacier, Antarctica, at centennial timescales. Earth and Planetary Science Letters, 597. https://doi.org/10.1016/j.epsl.2022.117798

Bochev, P.B., Trask, N.A., Kuberry, P., Perego, M., & Paskaleva, B.S. (2022). he The amazing powers of Generalized Moving Least Squares: Applications to PDEs, data transfer and device models [Conference Presentation]. 10.2172/2004746

Watkins, J.E., Carlson, M.L., Tezaur, I.K., & Perego, M. (2022). Performance, portability and productivity in ice-sheet modeling using MALI [Conference Presentation]. 10.2172/2004777

Perego, M. (2022). PDE-Constrained Optimization forIce-Sheet Initialization [Conference Presentation]. 10.2172/2004252

Liegeois, K.A.J., Perego, M., & Stadler, G. (2022). Computationally efficient estimation of the extreme event probability of the mass loss of Greenland and Antarctic ice sheets [Conference Presentation]. 10.2172/2003495

Perego, M. (2022). Advances in Computing Probabilistic Projections of Sea Level Rise Due to Ice-sheet Mass Loss [Conference Presentation]. 10.2172/2003573

Liegeois, K.A.J., Perego, M., & Stadler, G. (2022). On the extreme event probability estimation of land ice mass loss [Slides] [Conference Presentation]. 10.2172/2002445

Kuberry, P., Sockwell, K.C., Eldred, C., Perego, M., Bochev, P.B., & Peterson, K.J. (2022). Meshless Remap of Native Fields for Earth System Models via Generalized Moving Least Squares [Conference Presentation]. 10.2172/2002153

Heinlein, A., Perego, M., & Rajamanickam, S. (2022). FROSch PRECONDITIONERS FOR LAND ICE SIMULATIONS OF GREENLAND AND ANTARCTICA. SIAM Journal on Scientific Computing, 44(2), pp. B339-B367. 10.1137/21m1395260

Bertagna, L., Perego, M., & Hoffman, M. (2021). Constraining subglacial hydrology with ice surface velocity observations by solving an inverse ice dynamics-subglacial hydrology problem [Conference Presentation]. 10.2172/1905434

Perego, M. (2021). Ice Sheet Initialization as an Integral Part of Ice sheet Modeling [Conference Poster]. 10.2172/2001579

Heinlein, A., Perego, M., Rajamanickam, S., & Yamazaki, I. (2021). FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica [Conference Presentation]. 10.2172/1900354

D'Elia, M., Bochev, P.B., Perego, M., Trageser, J., & Littlewood, D.J. (2021). An optimization-based strategy for peridynamic-FEM coupling and for the prescription of nonlocal boundary conditions. 10.2172/1825041

He, Q., & Perego, M. (2021). Modeling land ice with deep operator networks [Conference Presentation]. 10.2172/1888409

Hartland, T., Perego, M., & Petra, N. (2021). Inversion of the Humboldt Glacier Basal Friction Coefficient Field in an Uncertain Ice Sheet Model [Presentation]. https://www.osti.gov/biblio/1884051

Roberts, N.V., & Perego, M. (2021). Exploiting Tensor-Product Structure in High-Order Finite Elements on Next-Generation Architectures [Conference Presentation]. 10.2172/1882065

Cyr, E.C., Gulian, M., Lee, K., Patel, R., Perego, M., & Trask, N.A. (2021). An Adaptive Basis Perspective to Improve Initialization and Accelerate Training of DNNs [Presentation]. https://www.osti.gov/biblio/1872708

Perego, M. (2021). Advances in Modeling the Thermo-Mechanical state of Ice Sheets [Conference Presentation]. 10.2172/1873266

Hartland, T., Stadler, G., Perego, M., Liegeois, K.A.J., & Petra, N. (2021). Hierarchical off-diagonal Hessian approximation for Bayesian inverse problems with application to the flow of the Greenland ice sheet [Conference Presentation]. 10.2172/1873285

Perego, M. (2021). Improving Large-Scale PDE-Constrained Optimization for Ice Sheet Initialization [Conference Presentation]. 10.2172/1853868

Sockwell, K.C., & Perego, M. (2021). Implementing Calving Laws in Ice-Sheet Models using Level Set Methods [Conference Presentation]. 10.2172/1847579

Cyr, E.C., Gulian, M., Patel, R., Perego, M., & Trask, N.A. (2021). An Adaptive Basis Perspective to Improve Initialization and Accelerate Training of DNNs [Conference Presentation]. 10.2172/1847582

Heinlein, A., Perego, M., & Rajamanickam, S. (2020). FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica. 10.2172/1763446

Heinlein, A., Perego, M., & Rajamanickam, S. (2020). FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica [Conference Presentation]. 10.2172/1835979

Zhang, T., Price, S.F., Hoffman, M.J., Perego, M., & Asay-Davis, X. (2020). Diagnosing the sensitivity of grounding-line flux to changes in sub-ice-shelf melting. Cryosphere, 14(10), pp. 3407-3424. https://doi.org/10.5194/tc-14-3407-2020

Gulian, M., Cyr, E.C., Patel, R., Perego, M., & Trask, N.A. (2020). Robust training and initialization of deep neural networks: an adaptive basis viewpoint [Conference Poster]. https://www.osti.gov/biblio/1808257

Bochev, P.B., Ridzal, D., D'Elia, M., Perego, M., & Peterson, K.J. (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, 367. 10.1016/j.cma.2020.112982

Trask, N.A., Bochev, P.B., & Perego, M. (2020). A conservative, consistent, and scalable meshfree mimetic method. Journal of Computational Physics, 409(C). 10.1016/j.jcp.2019.109187

Levermann, A., Winkelmann, R., Albrecht, T., Goelzer, H., Golledge, N.R., Greve, R., Huybrechts, P., Jordan, J., Leguy, G., Martin, D., Morlighem, M., Pattyn, F., Pollard, D., Quiquet, A., Rodehacke, C., Seroussi, H., Sutter, J., Zhang, T., van Breedam, J., … van de Wal, R.S.W. (2020). Projecting Antarctica's contribution to future sea level rise from basal ice shelf melt using linear response functions of 16 ice sheet models (LARMIP-2). Earth System Dynamics, 11(1), pp. 35-76. https://doi.org/10.5194/esd-11-35-2020

Cyr, E.C., Gulian, M., Patel, R., Perego, M., & Trask, N.A. (2020). Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint [Conference Poster]. Proceedings of Machine Learning Research. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85162649507&origin=inward

Kuberry, P., Perego, M., Trask, N.A., & Bochev, P.B. (2019). Field reconstruction from Raviart-Thomas Nedelec and finite volume degrees-of-freedom using Generalized Moving Least Squares [Conference Poster]. https://www.osti.gov/biblio/1761038

Perego, M. (2019). Trilinos Discretizations Product Update [Presentation]. https://www.osti.gov/biblio/1760975

Perego, M. (2019). Ice Sheet Initialization [Conference Poster]. https://www.osti.gov/biblio/1763617

Perego, M. (2019). Albany Land Ice (ALI) model focus on optimization capability [Presentation]. https://www.osti.gov/biblio/1764106

Hoffman, M.J., Asay-Davis, X., Price, S.F., Fyke, J., & Perego, M. (2019). Effect of Subshelf Melt Variability on Sea Level Rise Contribution From Thwaites Glacier, Antarctica. Journal of Geophysical Research: Earth Surface, 124(12), pp. 2798-2822. https://doi.org/10.1029/2019JF005155

Cyr, E.C., Gulian, M., Patel, R., Perego, M., & Trask, N.A. (2019). Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint [Conference Poster]. https://www.osti.gov/biblio/1643463

Cyr, E.C., Gulian, M., Patel, R., Perego, M., Trask, N.A., Ridzal, D., Guenther, S., Ruthotto, L., Schroder, J.B., & Gauger, N.R. (2019). Improved Neural Network Training: Layer-Parallelism Least-squares and Initialization [Conference Poster]. https://www.osti.gov/biblio/1643364

Perego, M. (2019). Initialization of the thermo-mechanical state of an ice sheet model [Presentation]. https://www.osti.gov/biblio/1681090

Bochev, P.B., Bosler, P.A., Kuberry, P., Perego, M., Peterson, K.J., & Trask, N.A. (2019). Compatible Particle Discretizations (Final LDRD Report). 10.2172/1569143

Bogle, I., Devine, K., Perego, M., Rajamanickam, S., & Slota, G.M. (2019). A parallel graph algorithm for detecting mesh singularities in distributed memory ice sheet simulations [Conference Poster]. ACM International Conference Proceeding Series. 10.1145/3337821.3337841

Bochev, P.B., Trask, N.A., & Perego, M. (2019). Mimetic meshfree methods or how to be compatible without a mesh [Conference Poster]. https://www.osti.gov/biblio/1641675

Bochev, P.B., Kuberry, P., Trask, N.A., & Perego, M. (2019). The amazing powers of Generalized Moving Least-Squares [Conference Poster]. https://www.osti.gov/biblio/1641676

Bochev, P.B., Trask, N.A., & Perego, M. (2019). A meshfree mimetic divergence operator. 10.2172/1763214

Kuberry, P., Perego, M., Trask, N.A., & Bochev, P.B. (2019). The Compadre Toolkit for Native Degrees-of-Freedom [Conference Poster]. https://www.osti.gov/biblio/1641034

Perego, M., Bochev, P.B., Kuberry, P., & Trask, N.A. (2019). Generalized Moving Least Squares: Approximation Theory and Applications [Presentation]. https://www.osti.gov/biblio/1645573

Rajamanickam, S., Bogle, I., Hu, J.J., Devine, K., Slota, G.M., Perego, M., & Kim, K. (2019). FASTMath: Kokkos Kernels and Linear Solvers [Conference Poster]. https://www.osti.gov/biblio/1641222

Perego, M. (2019). Discretization and Assembly using Intrepid2 and Tpetra [Conference Poster]. https://www.osti.gov/biblio/1640745

Bogle, I., Devine, K., Perego, M., Rajamanickam, S., & Slota, G.M. (2019). A Parallel Graph Algorithm for Detecting Mesh Singularities in Distributed Memory Ice Sheet Simulations [Conference Poster]. 10.1145/3337821.3337841

Bochev, P.B., Trask, N.A., Kuberry, P., & Perego, M. (2019). Mesh-hardened finite element analysis through a Generalized Moving Least-Squares approximation of variational problems [Conference Poster]. 10.1007/978-3-030-41032-2_7

Trask, N.A., Bochev, P.B., & Perego, M. (2019). Mimetic Conservation Principles for Meshfree Approximation [Conference Poster]. https://www.osti.gov/biblio/1640111

Kuberry, P., Perego, M., Trask, N.A., & Bochev, P.B. (2019). Field reconstruction from native degrees-of-freedom using the Compadre Toolkit [Conference Poster]. https://www.osti.gov/biblio/1640167

Perego, M., Bochev, P.B., Bosler, P.A., Kuberry, P., Peterson, K.J., & Trask, N.A. (2019). Advances in the Approximation Theory of Generalized Moving Least Squares [Conference Poster]. https://www.osti.gov/biblio/1640218

Perego, M., Barone, A., & Hoffman, M. (2019). Implicit Thermo-Mechanical Coupling for Ice Sheet Modeling [Conference Poster]. https://www.osti.gov/biblio/1640623

Bertagna, L., Jakeman, J.D., Perego, M., Tezaur, I.K., Watkins, J.E., Salinger, A.G., Asay-Davis, X., Hoffman, M., Price, S., Zhang, T., & Stadler, G. (2019). Modeling Ice Sheets with MALI [Presentation]. https://www.osti.gov/biblio/1645332

Perego, M., Bochev, P.B., Trask, N.A., Bosler, P.A., Kuberry, P., & Peterson, K.J. (2019). Advances in the Approximation Theory for Generalized Moving Least Squares [Conference Poster]. https://www.osti.gov/biblio/1639699

Perego, M., Jakeman, J.D., Severa, W.M., & Ruthotto, L. (2019). Neural Networks Surrogates of PDE-based Dynamical Systems: Application to Ice Sheet Dynamics [Conference Poster]. https://www.osti.gov/biblio/1639251

Bochev, P.B., Trask, N.A., Kuberry, P., & Perego, M. (2019). Mesh-hardened finite element analysis through a Generalized Moving Least-Squares approximation of variational problems [Conference Poster]. 10.1007/978-3-030-41032-2_7

Lipscomb, W.H., Price, S.F., Hoffman, M.J., Leguy, G.R., Bennett, A.R., Bradley, S.L., Evans, K.J., Fyke, J.G., Kennedy, J.H., Perego, M., Ranken, D.M., Sacks, W.J., Salinger, A.G., Vargo, L.J., & Worley, P.H. (2019). Description and evaluation of the Community Ice Sheet Model (CISM) v2.1. Geoscientific Model Development, 12(1), pp. 387-424. https://doi.org/10.5194/gmd-12-387-2019

Perego, M. (2018). Ice Sheet Modeling: Verification Validation and UQ [Conference Poster]. https://www.osti.gov/biblio/1594231

Bertagna, L., Perego, M., Hoffman, M., & Price, S. (2018). Study of Greenland subglacial hydrology at medium-high resolutions [Conference Poster]. https://www.osti.gov/biblio/1761329

Peterson, K.J., Perego, M., Frederick, J.M., Wheeler, L.B., Bosler, P.A., Ruffing, A.M., Davis, R.W., Whitmore, L.S., Poorey, K., Williams, K.P., Roesler, E.L., Bryan, P.F., Salinger, A.G., Hardesty, J., Tidwell, V.C., & Singh, A.K. (2018). SNL/BER Review 2018 [Presentation]. https://www.osti.gov/biblio/1594318

Kuberry, P., Bosler, P.A., Trask, N.A., Perego, M., Peterson, K.J., & Bochev, P.B. (2018). The Compadre Toolkit [Conference Poster]. https://www.osti.gov/biblio/1594258

Bochev, P.B., Trask, N.A., Kuberry, P., Perego, M., Peterson, K.J., & Bosler, P.A. (2018). Compatible meshless methods for DPEs [Conference Poster]. https://www.osti.gov/biblio/1806965

Hoffman, M.J., Perego, M., Price, S.F., Lipscomb, W.H., Zhang, T., Jacobsen, D., Tezaur, I.K., Salinger, A.G., Tuminaro, R.S., & Bertagna, L. (2018). MPAS-Albany Land Ice (MALI): A variable-resolution ice sheet model for Earth system modeling using Voronoi grids. Geoscientific Model Development, 11(9), pp. 3747-3780. https://doi.org/10.5194/gmd-11-3747-2018

Jakeman, J.D., Perego, M., & Severa, W.M. (2018). Neural Networks as Surrogates of Nonlinear High-Dimensional Parameter-to-Prediction Maps. 10.2172/1531317

Trask, N.A., Perego, M., & Bochev, P.B. (2018). Discretely conservative meshfree schemes for conservation laws [Conference Poster]. https://www.osti.gov/biblio/1806699

Perego, M., Bochev, P.B., Trask, N.A., Bosler, P.A., Kuberry, P., & Peterson, K.J. (2018). Advances in the Approximation Theory for Functional Reconstructions Using GMLS and Applications to Meshless Discretization of Differential Equations [Conference Poster]. https://www.osti.gov/biblio/1573545

Bochev, P.B., Perego, M., D'Elia, M., Ridzal, D., & Peterson, K.J. (2018). Optimization-based property preserving finite element methods for transport equations [Conference Poster]. https://www.osti.gov/biblio/1525706

Perego, M., Bertagna, L., Hoffman, M., Jakeman, J.D., Price, S., Salinger, A.G., Stadler, G., Tezaur, I.K., & Watkins, J.E. (2018). Ice Sheet Modeling: Computational and Mathematical Challenges [Presentation]. https://www.osti.gov/biblio/1513472

Jakeman, J.D., Perego, M., Tezaur, I.K., Price, S., & Stadler, G. (2018). Ice Sheet Initialization and Uncertainty Quantification of SeaLevel Rise [Conference Poster]. https://www.osti.gov/biblio/1523714

Perego, M., Jakeman, J.D., Tezaur, I.K., Price, S., & Stadler, G. (2018). Methodologies for Enabling Bayesian Calibration in Landice Modeling Towards Probabilistic Projections of Sealevel Change [Conference Poster]. https://www.osti.gov/biblio/1510847

Kim, K., Perego, M., Ellingwood, N.D., Peterson, K.J., & Roberts, N.V. (2018). Intrepid2: a PerformancePortable Package for Compatible HighOrder Finite Element Discretizations [Conference Poster]. https://www.osti.gov/biblio/1502287

Hoffman, M.J., Perego, M., Andrews, L.C., Price, S.F., Neumann, T.A., Johnson, J.V., Catania, G., & Luthi, M.P. (2018). Widespread Moulin Formation During Supraglacial Lake Drainages in Greenland. Geophysical Research Letters, 45(2), pp. 778-788. https://doi.org/10.1002/2017GL075659

Hong, B.D., Perego, M., Bochev, P.B., Frischknecht, A.L., & Phillips, E. (2018). Towards a scalable multifidelity simulation approach for electrokinetic problems at the mesoscale [Conference Poster]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10.1007/978-3-319-73441-5_16

Bertagna, L., Gunzburger, M., Hoffman, M., Perego, M., & Price, S. (2017). Sensitivity analysis for the coupling of a subglacial hydrology model with a 3D ice-sheet model [Conference Poster]. https://www.osti.gov/biblio/1573888

Perego, M. (2017). Discretizations Product [Conference Poster]. https://www.osti.gov/biblio/1488906

Perego, M., Barone, A., & Hoffman, M. (2017). Investigating an implicit thermo-mechanical model implemented in FELIX [Conference Poster]. https://www.osti.gov/biblio/1488907

Cheung, J., Frischknecht, A.L., Perego, M., & Bochev, P.B. (2017). A hybrid, coupled approach for modeling charged fluids from the nano to the mesoscale. Journal of Computational Physics, 348(C), pp. 364-384. 10.1016/j.jcp.2017.07.030

Jakeman, J.D., Perego, M., Tezaur, I.K., & Price, S. (2017). Towards probabilistic predictions of future sea-level [Conference Poster]. https://www.osti.gov/biblio/1481488

Ridzal, D., D'Elia, M., Perego, M., & Bochev, P.B. (2017). Property preserving finite element methods via constrained optimization [Conference Poster]. https://www.osti.gov/biblio/1513336

Trask, N.A., Bochev, P.B., & Perego, M. (2017). Locally compatible meshless methods for PDEs [Conference Poster]. https://www.osti.gov/biblio/1471967

Tezaur, I.K., Jakeman, J.D., Eldred, M., Perego, M., Price, S., & Salinger, A.G. (2017). Large-scale Deterministic Inversion and Bayesian Calibration in Land-Ice Modeling [Conference Poster]. https://www.osti.gov/biblio/1460158

Tuminaro, R.S., Perego, M., Tezaur, I.K., Salinger, A.G., & Price, S. (2017). Algebraic multigrid solvers for thin-domain problems: application to ice sheet modeling [Conference Poster]. https://www.osti.gov/biblio/1462652

D'Elia, M., Bochev, P.B., Perego, M., & Ridzal, D. (2017). Optimization-based property preserving finite element methods [Conference Poster]. https://www.osti.gov/biblio/1458218

Barone, A., & Perego, M. (2017). Challenges in modeling polythermal ice in large-scale ice sheet problems [Conference Poster]. https://www.osti.gov/biblio/1458222

Hong, B., Perego, M., Bochev, P.B., Frischknecht, A.L., & Phillips, E. (2017). Towards a Scalable Multifidelity Simulation Approach for Electrokinetic Problems at the Mesoscale [Conference Poster]. 10.1007/978-3-319-73441-5_16

Peterson, K.J., Bochev, P.B., Perego, M., & Gao, X. (2017). Multiscale Stabilized Control Volume Finite Element Method for Advection-Diffusion [Conference Poster]. https://www.osti.gov/biblio/1456439

Bertagna, L., Gunzburger, M., Perego, M., & Pieper, K. (2017). Coupling Between Ice Sheets Movement and Subglacial Hydrology [Conference Poster]. https://www.osti.gov/biblio/1425312