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ORCIDEric C. Cyr
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2020 – today
- 2024
[j23]Nathan V. Roberts
, Sean T. Miller, Stephen D. Bond, Eric C. Cyr:
An implicit-in-time DPG formulation of the 1D1V Vlasov-Poisson equations. Comput. Math. Appl. 154: 103-119 (2024)- [c8]Bradley H. Theilman, Qian Zhang, Adar Kahana, Eric C. Cyr, Nathaniel Trask, James B. Aimone, George Em Karniadakis:
Spiking Physics-Informed Neural Networks on Loihi 2. NICE 2024: 1-6 - [i15]Corné Verburg, Alexander Heinlein, Eric C. Cyr:
DDU-Net: A Domain Decomposition-based CNN for High-Resolution Image Segmentation on Multiple GPUs. CoRR abs/2407.21266 (2024) - [i14]Jonas A. Actor, Anthony Gruber, Eric C. Cyr, Nathaniel Trask:
Gaussian Variational Schemes on Bounded and Unbounded Domains. CoRR abs/2410.06219 (2024) - 2023
- [i13]Eric C. Cyr:
A 2-Level Domain Decomposition Preconditioner for KKT Systems with Heat-Equation Constraints. CoRR abs/2305.04421 (2023) - [i12]Nicholas S. Moore, Eric C. Cyr, Peter Ohm, Christopher M. Siefert, Raymond S. Tuminaro:
Graph Neural Networks and Applied Linear Algebra. CoRR abs/2310.14084 (2023) - 2022
- [j22]Ravi G. Patel, Indu Manickam, Nathaniel A. Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomas, Eric C. Cyr:
Thermodynamically consistent physics-informed neural networks for hyperbolic systems. J. Comput. Phys. 449: 110754 (2022) - [j21]Sean T. Miller, Nathan V. Roberts, Stephen D. Bond, Eric C. Cyr:
Neural-network based collision operators for the Boltzmann equation. J. Comput. Phys. 470: 111541 (2022) - [c7]Euhyun Moon, Eric C. Cyr:
Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences. ICLR 2022 - [c6]Nathaniel Trask, Amelia Henriksen, Carianne Martinez, Eric C. Cyr:
Hierarchical partition of unity networks: fast multilevel training. MSML 2022: 271-286 - [i11]Gordon Euhyun Moon, Eric C. Cyr:
Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences. CoRR abs/2203.04738 (2022) - 2021
- [j20]James H. Adler, Thomas R. Benson, Eric C. Cyr, Patrick E. Farrell, Scott P. MacLachlan, Ray S. Tuminaro:
Monolithic Multigrid Methods for Magnetohydrodynamics. SIAM J. Sci. Comput. 43(5): S70-S91 (2021) - [c5]Kookjin Lee, Nathaniel Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr:
Partition of Unity Networks: Deep HP-Approximation. AAAI Spring Symposium: MLPS 2021 - [c4]Ravi G. Patel, Nathaniel Trask, Mamikon A. Gulian, Eric C. Cyr:
A Block Coordinate Descent Optimizer for Classification Problems Exploiting Convexity. AAAI Spring Symposium: MLPS 2021 - [i10]Kookjin Lee, Nathaniel A. Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr:
Partition of unity networks: deep hp-approximation. CoRR abs/2101.11256 (2021) - [i9]Peter Ohm, Tobias A. Wiesner, Eric C. Cyr, Jonathan J. Hu, John N. Shadid, Raymond S. Tuminaro:
A Monolithic Algebraic Multigrid Framework for Multiphysics Applications with Examples from Resistive MHD. CoRR abs/2103.07537 (2021) - [i8]Peter Sentz, Kristian Beckwith, Eric C. Cyr, Luke N. Olson, Ravi G. Patel:
Reduced Basis Approximations of Parameterized Dynamical Partial Differential Equations via Neural Networks. CoRR abs/2110.10775 (2021) - 2020
- [j19]Seung Whan Chung, Stephen D. Bond, Eric C. Cyr, Jonathan B. Freund:
Regular sensitivity computation avoiding chaotic effects in particle-in-cell plasma methods. J. Comput. Phys. 400 (2020) - [j18]Sibusiso Mabuza, John N. Shadid, Eric C. Cyr, Roger P. Pawlowski, Dmitri Kuzmin:
A linearity preserving nodal variation limiting algorithm for continuous Galerkin discretization of ideal MHD equations. J. Comput. Phys. 410: 109390 (2020) - [j17]Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, Eric C. Cyr, Nicolas R. Gauger:
Layer-Parallel Training of Deep Residual Neural Networks. SIAM J. Math. Data Sci. 2(1): 1-23 (2020) - [c3]Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask:
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. MSML 2020: 512-536 - [i7]Ravi G. Patel, Nathaniel A. Trask, Mamikon A. Gulian, Eric C. Cyr:
A block coordinate descent optimizer for classification problems exploiting convexity. CoRR abs/2006.10123 (2020) - [i6]J. H. Adler, Thomas R. Benson, Eric C. Cyr, Patrick E. Farrell, Scott P. MacLachlan, Ray S. Tuminaro:
Monolithic Multigrid for Magnetohydrodynamics. CoRR abs/2006.15700 (2020) - [i5]Ravi G. Patel, Nathaniel A. Trask, Mitchell A. Wood, Eric C. Cyr:
A physics-informed operator regression framework for extracting data-driven continuum models. CoRR abs/2009.11992 (2020) - [i4]Ravi G. Patel, Indu Manickam, Nathaniel A. Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomas, Eric C. Cyr:
Thermodynamically consistent physics-informed neural networks for hyperbolic systems. CoRR abs/2012.05343 (2020)
2010 – 2019
- 2019
- [j16]Sean T. Miller, Eric C. Cyr, John N. Shadid, Richard M. J. Kramer, Edward G. Phillips, Sidafa Conde, Roger P. Pawlowski:
IMEX and exact sequence discretization of the multi-fluid plasma model. J. Comput. Phys. 397 (2019) - [i3]Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask:
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. CoRR abs/1912.04862 (2019) - [i2]Eric C. Cyr, Stefanie Günther, Jacob B. Schroder:
Multilevel Initialization for Layer-Parallel Deep Neural Network Training. CoRR abs/1912.08974 (2019) - 2018
- [j15]Paul T. Lin, John N. Shadid, Jonathan J. Hu, Roger P. Pawlowski, Eric C. Cyr:
Performance of fully-coupled algebraic multigrid preconditioners for large-scale VMS resistive MHD. J. Comput. Appl. Math. 344: 782-793 (2018) - [j14]Edward G. Phillips, John N. Shadid, Eric C. Cyr:
Scalable Preconditioners for Structure Preserving Discretizations of Maxwell Equations in First Order Form. SIAM J. Sci. Comput. 40(3) (2018) - [i1]Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, Eric C. Cyr, Nicolas R. Gauger:
Layer-Parallel Training of Deep Residual Neural Networks. CoRR abs/1812.04352 (2018) - 2016
- [j13]John N. Shadid, Thomas M. Smith, Eric C. Cyr, Tim Wildey, Roger P. Pawlowski:
Stabilized FE simulation of prototype thermal-hydraulics problems with integrated adjoint-based capabilities. J. Comput. Phys. 321: 321-341 (2016) - [j12]James H. Adler, Thomas R. Benson, Eric C. Cyr, Scott P. MacLachlan, Raymond S. Tuminaro:
Monolithic Multigrid Methods for Two-Dimensional Resistive Magnetohydrodynamics. SIAM J. Sci. Comput. 38(1) (2016) - [j11]Eric C. Cyr, John N. Shadid, Raymond S. Tuminaro:
Teko: A Block Preconditioning Capability with Concrete Example Applications in Navier-Stokes and MHD. SIAM J. Sci. Comput. 38(5) (2016) - [j10]Edward G. Phillips, John N. Shadid, Eric C. Cyr, Howard C. Elman, Roger P. Pawlowski:
Block Preconditioners for Stable Mixed Nodal and Edge finite element Representations of Incompressible Resistive MHD. SIAM J. Sci. Comput. 38(6) (2016) - 2015
- [j9]David Sondak, John N. Shadid, Assad A. Oberai, Roger P. Pawlowski, Eric C. Cyr, Thomas M. Smith:
A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics. J. Comput. Phys. 295: 596-616 (2015) - 2014
- [j8]Jehanzeb Hameed Chaudhry, Eric C. Cyr, Kuo Liu, Thomas A. Manteuffel, Luke N. Olson, Lei Tang:
Enhancing Least-Squares Finite Element Methods Through a Quantity-of-Interest. SIAM J. Numer. Anal. 52(6): 3085-3105 (2014) - [j7]Eric C. Cyr, John N. Shadid, Tim Wildey:
Approaches for Adjoint-Based A Posteriori Analysis of Stabilized Finite Element Methods. SIAM J. Sci. Comput. 36(2) (2014) - [j6]Edward G. Phillips, Howard C. Elman, Eric C. Cyr, John N. Shadid, Roger P. Pawlowski:
A Block Preconditioner for an Exact Penalty Formulation for Stationary MHD. SIAM J. Sci. Comput. 36(6) (2014) - [c2]Paul T. Lin, Matthew T. Bettencourt, Stefan Domino, Travis Fisher, Mark Hoemmen, Jonathan J. Hu, Eric T. Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, Christopher M. Siefert, Eric C. Cyr, Stephen Kennon:
Towards Extreme-Scale Simulations with Next-Generation Trilinos: A Low Mach Fluid Application Case Study. IPDPS Workshops 2014: 1485-1494 - 2013
- [j5]Eric C. Cyr, John N. Shadid, Raymond S. Tuminaro, Roger P. Pawlowski, Luis Chacón:
A New Approximate Block Factorization Preconditioner for Two-Dimensional Incompressible (Reduced) Resistive MHD. SIAM J. Sci. Comput. 35(3) (2013) - 2012
- [j4]Eric C. Cyr, John N. Shadid, Raymond S. Tuminaro:
Stabilization and scalable block preconditioning for the Navier-Stokes equations. J. Comput. Phys. 231(2): 345-363 (2012) - [j3]Burak Aksoylu, Stephen D. Bond, Eric C. Cyr, Michael J. Holst:
Goal-Oriented Adaptivity and Multilevel Preconditioning for the Poisson-Boltzmann Equation. J. Sci. Comput. 52(1): 202-225 (2012) - 2010
- [j2]Stephen D. Bond, Jehanzeb Hameed Chaudhry, Eric C. Cyr, Luke N. Olson:
A first-order system least-squares finite element method for the Poisson-Boltzmann equation. J. Comput. Chem. 31(8): 1625-1635 (2010)
2000 – 2009
- 2008
- [b1]Eric C. Cyr:
Numerical Methods for Computing the Free Energy of Coarse-Grained Molecular Systems. University of Illinois Urbana-Champaign, USA, 2008 - 2007
- [j1]Eric C. Cyr, Stephen D. Bond:
Using the method of weighted residuals to compute potentials of mean force. J. Comput. Phys. 225(1): 714-729 (2007) - 2002
- [c1]J. Barr von Oehsen, Christopher L. Cox, Eric C. Cyr, Brian A. Malloy:
Using Design Patterns and XML to Construct an Extensible Finite Element System. International Conference on Computational Science (3) 2002: 735-744
Coauthor Index
aka: Nathaniel A. Trask
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