MZ
Matthew Zahr
cs.NAmath.NAmath.OCphysics.flu-dynphysics.comp-phcs.CEcs.LGmath.MPmath-phstat.ML
On Valency
published · living versionsW_9rkpaeju·v1 · currentpublished
In-Context Learning for Multi-Fidelity Multiscale Model Closure and Cross-Operator Out-Of-Distribution Generalization
with Xinyuan Li, Panos Stinis, Zecheng Zhang
1 version
Preprints & journals
34 papers in the corpus · 2014–2026Feature tracking in physics-informed neural networks via joint optimization of nonlinear deformation manifolds: application to shocks2610.02230v1 · Akshay Thakur, Matthew Zahr2026 · 0 citationsarXiv
Scalable h-adaptive probabilistic solver for time-independent and time-dependent systems2508.09623v2 · Akshay Thakur, Sawan Kumar, Matthew Zahr et al.2025 · 0 citationsarXiv
An -adaptive method for accurate resolution of shock-dominated viscous flow based on implicit shock tracking2504.15177v1 · Huijing Dong, Masayuki Yano, Tianci Huang et al.2025 · 0 citationsarXiv
Model reduction of convection-dominated viscous conservation laws using implicit feature tracking and landmark image registration2503.17463v1 · Victor Zucatti, Matthew J. Zahr2025 · 1 citationarXiv
Neural network-based Godunov corrections for approximate Riemann solvers using bi-fidelity learning2503.13248v2 · Akshay Thakur, Matthew J. Zahr2025 · 1 citationCommun. Appl. Math. Comput. Sci. 20 (2025) 207-229
A sharp-interface discontinuous Galerkin method for simulation of two-phase flow of real gases based on implicit shock tracking2503.05557v1 · Charles Naudet, Brian Taylor, Matthew J. Zahr2025 · 0 citationsarXiv
An implicit shock tracking method for simulation of shock-dominated flows over complex domains using mesh-based parametrizations2503.05892v1 · Alexander M. Perez Reyes, Matthew J. Zahr2025 · 1 citationarXiv
An augmented Lagrangian trust-region method with inexact gradient evaluations to accelerate constrained optimization problems using model hyperreduction2405.14827v1 · Tianshu Wen, Matthew J. Zahr2024 · 0 citationsarXiv
Preconditioned iterative solvers for constrained high-order implicit shock tracking methods2402.18403v2 · Jakob Vandergrift, Matthew J. Zahr2024 · 2 citationsarXiv
Symmetric, Optimization-based, Cross-element Compatible Nodal Distributions for High-order Finite Elements2401.13209v3 · Julian M. Kaufmann, Matthew J. Zahr2024 · 1 citationCommun. Appl. Math. Comput. Sci. 20 (2025) 119-146
An adaptive model reduction method leveraging locally supported basis functions2310.05379v1 · Han Gao, Matthew J. Zahr2023 · 4 citationsarXiv
A space-time high-order implicit shock tracking method for shock-dominated unsteady flows2308.04065v2 · Charles J. Naudet, Matthew J. Zahr2023 · 14 citationsarXiv
Accelerated solutions of convection-dominated partial differential equations using implicit feature tracking and empirical quadrature2305.15661v2 · Marzieh Alireza Mirhoseini, Matthew J. Zahr2023 · 6 citationsarXiv
High-order implicit shock tracking boundary conditions for flows with parametrized shocks2304.11427v1 · Tianci Huang, Charles Naudet, Matthew J. Zahr2023 · 11 citationsarXiv
An adaptive, training-free reduced-order model for convection-dominated problems based on hybrid snapshots2301.01718v2 · Victor Zucatti, Matthew J. Zahr2023 · 17 citationsarXiv
A globally convergent method to accelerate large-scale optimization using on-the-fly model hyperreduction: application to shape optimization2206.09942v1 · Tianshu Wen, Matthew J. Zahr2022 · 10 citationsarXiv
Accurate quantification of blood flow wall shear stress using simulation-based imaging: a synthetic, comparative study2109.14650v1 · Charles J. Naudet, Johannes Toger, Matthew J. Zahr2021 · 1 citationarXiv
Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking2109.14694v1 · Marzieh Alireza Mirhoseini, Matthew J. Zahr2021 · 37 citationsarXiv
Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems2107.12146v1 · Han Gao, Matthew J. Zahr, Jian-Xun Wang2021 · 307 citationsarXiv
A robust, high-order implicit shock tracking method for simulation of complex, high-speed flows2105.00139v2 · Tianci Huang, Matthew J. Zahr2021 · 37 citationsarXiv
Implicit shock tracking for unsteady flows by the method of lines2101.08913v3 · Andrew Shi, Per-Olof Persson, Matthew Zahr2021 · 18 citationsJournal of Computational Physics 454 (2022) 110906;
Preserving general physical properties in model reduction of dynamical systems via constrained-optimization projection2011.13998v3 · A. Schein, K. T. Carlberg, M. J. Zahr2020 · 14 citationsarXiv
A globally convergent method to accelerate topology optimization using on-the-fly model reduction2004.05756v2 · Masayuki Yano, Tianci Huang, Matthew J. Zahr2020 · 30 citationsarXiv
Blood flow imaging by optimal matching of computational fluid dynamics to 4D-flow data.32270549 · Töger, Johannes, Zahr, Matthew J, Aristokleous, Nicolas et al.2021 · 46 citationsMagnetic resonance in medicine. 2020;84(4):2231-2245
Implicit shock tracking using an optimization-based high-order discontinuous Galerkin method1912.11207v2 · Matthew J. Zahr, Andrew Shi, Per-Olof Persson2019 · 68 citationsarXiv
Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning1911.03808v2 · Han Gao, Jian-Xun Wang, Matthew J. Zahr2019 · 44 citationsarXiv
High-order partitioned spectral deferred correction solvers for multiphysics problems1909.01977v3 · Daniel Z. Huang, Will Pazner, Per-Olof Persson et al.2019 · 13 citationsJournal of Computational Physics 412 (2020): 109441
A high-order partitioned solver for general multiphysics problems and its applications in optimization1812.11853v1 · Daniel Z. Huang, Per-Olof Persson, Matthew J. Zahr2018 · 2 citationsarXiv
An efficient, globally convergent method for optimization under uncertainty using adaptive model reduction and sparse grids1811.00177v2 · Matthew J. Zahr, Kevin T. Carlberg, Drew P. Kouri2018 · 46 citationsarXiv
High-order, linearly stable, partitioned solvers for general multiphysics problems based on implicit-explicit Runge-Kutta schemes1803.11372v2 · Daniel Z. Huang, Per-Olof Persson, Matthew J. Zahr2018 · 25 citationsarXiv
An optimization-based approach for high-order accurate discretization of conservation laws with discontinuous solutions1712.03445v2 · Matthew J. Zahr, Per-Olof Persson2017 · 86 citationsarXiv
An Adjoint Method for a High-Order Discretization of Deforming Domain Conservation Laws for Optimization of Flow Problems1512.04619v2 · Matthew J. Zahr, Per-Olof Persson2015 · 23 citationsarXiv
A Fully Discrete Adjoint Method for Optimization of Flow Problems on Deforming Domains with Time-Periodicity Constraints1512.00616v2 · Matthew J. Zahr, Per-Olof Persson, Jon Wilkening2015 · 12 citationsarXiv
Progressive construction of a parametric reduced-order model for PDE-constrained optimization1407.7618v1 · Matthew J. Zahr, Charbel Farhat2014 · 144 citationsarXiv
Career total: 81 works. 34 are in this corpus.
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