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M
Matthew J. Zahr
university of notre dame
18
H-index
81
Paper Count
1.7K
Citation Count
0
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Published Papers
22
Publication Date
Publication Date
Impact Factor
Citations
Model reduction of convection-dominated viscous conservation laws using implicit feature tracking and landmark image registration
Journal of Computational Physics
IF
3.8
2026-04-25
0
OA
AI
Victor Zucatti; Matthew J. Zahr
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An implicit shock tracking method for simulation of shock-dominated flows over complex domains using mesh-based parametrizations
Journal of Computational Physics
IF
3.8
2026-01-09
0
OA
AI
Alexander M. Pérez Reyes; Matthew J. Zahr
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Scalable h-adaptive probabilistic solver for time-independent and time-dependent systems
Computer Methods in Applied Mechanics and Engineering
IF
7.3
2025-12-15
0
PRE
AI
Akshay Thakur; Sawan Kumar; Matthew Zahr; Souvik Chakraborty
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A sharp-interface discontinuous Galerkin method for simulation of two-phase flow of real gases based on implicit shock tracking
Journal of Computational Physics
IF
3.8
2025-12-09
0
PRE
AI
Charles Naudet; Brian Taylor; Matthew J. Zahr
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An rp-adaptive method for accurate resolution of shock-dominated viscous flow based on implicit shock tracking
Journal of Computational Physics
IF
3.8
2025-09-11
0
OA
AI
Huijing Dong; Masayuki Yano; Tianci Huang; Matthew J. Zahr
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Preconditioned iterative solvers for constrained high-order implicit shock tracking methods
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2024-10-01
0
OA
AI
Vandergrift, Jakob; Zahr, Matthew J.
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A space-time high-order implicit shock tracking method for shock-dominated unsteady flows
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2024-03-01
2
OA
AI
Naudet, Charles J.; Zahr, Matthew J.
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High-order implicit shock tracking boundary conditions for flows with parametrized shocks
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2023-12-01
4
OA
AI
Huang, Tianci; Naudet, Charles J.; Zahr, Matthew J.
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A globally convergent method to accelerate large-scale optimization using on-the-fly model hyperreduction: Application to shape optimization
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2023-07-01
8
OA
AI
Wen, Tianshu; Zahr, Matthew J.
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Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2023-01-01
23
OA
AI
Mirhoseini, Marzieh Alireza; Zahr, Matthew J.
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Accurate quantification of blood flow wall shear stress using simulation-based imaging: a synthetic, comparative study
ENGINEERING WITH COMPUTERS
IF
4.9
2022-08-10
1
OA
AI
Naudet, Charles J.; Toger, Johannes; Zahr, Matthew J.
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A robust, high-order implicit shock tracking method for simulation of complex, high-speed flows
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2022-04-01
21
OA
AI
Huang, Tianci; Zahr, Matthew J.
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Implicit shock tracking for unsteady flows by the method of lines
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2022-04-01
13
OA
AI
Shi, A.; Persson, P-O; Zahr, M. J.
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Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF
7.3
2022-02-01
122
OA
AI
Gao, Han; Zahr, Matthew J.; Wang, Jian-Xun
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A globally convergent method to accelerate topology optimization using on-the-fly model reduction
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF
7.3
2021-03-01
19
OA
AI
Yano, Masayuki; Huang, Tianci; Zahr, Matthew J.
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High-order partitioned spectral deferred correction solvers for multiphysics problems
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2020-07-01
7
OA
AI
Huang, Daniel Z.; Pazner, Will; Persson, Per-Olof; Zahr, Matthew J.
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Implicit shock tracking using an optimization-based high-order discontinuous Galerkin method
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2020-06-01
53
OA
AI
Zahr, M. J.; Shi, A.; Persson, P. -O
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Blood flow imaging by optimal matching of computational fluid dynamics to 4D-flow data
MAGNETIC RESONANCE IN MEDICINE
IF
3
2020-04-08
34
OA
AI
Toger, Johannes; Zahr, Matthew J.; Aristokleous, Nicolas; Bloch, Karin Markenroth; Carlsson, Marcus; Persson, Per-Olof
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High-order, linearly stable, partitioned solvers for general multiphysics problems based on implicit-explicit Runge-Kutta schemes
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF
7.3
2019-04-01
16
OA
AI
Huang, D. Z.; Persson, P. -O.; Zahr, M. J.
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An optimization-based approach for high-order accurate discretization of conservation laws with discontinuous solutions
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2018-07-01
57
OA
AI
Zahr, M. J.; Persson, P. -O.
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Research Directions
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Co-authors
Cooperation Journals
C
Charbel Farhat
H-index: 83 · Papers: 603
M
Marcus Carlsson
H-index: 46 · Papers: 385
J
Jianxun Wang
H-index: 42 · Papers: 290
B
Brian D. Taylor
H-index: 38 · Papers: 412
P
Per‐Olof Persson
H-index: 37 · Papers: 178
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