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Eric C. Cyr
Eric C. Cyr
Computational Mathematics Department, Sandia National Laboratories
Verified email at sandia.gov - Homepage
Title
Cited by
Cited by
Year
Layer-parallel training of deep residual neural networks
S Gunther, L Ruthotto, JB Schroder, EC Cyr, NR Gauger
SIAM Journal on Mathematics of Data Science 2 (1), 1-23, 2020
752020
Scalable implicit incompressible resistive MHD with stabilized FE and fully-coupled Newton–Krylov-AMG
JN Shadid, RP Pawlowski, EC Cyr, RS Tuminaro, L Chacón, PD Weber
Computer Methods in Applied Mechanics and Engineering 304, 1-25, 2016
662016
A new approximate block factorization preconditioner for two-dimensional incompressible (reduced) resistive MHD
EC Cyr, JN Shadid, RS Tuminaro, RP Pawlowski, L Chacón
SIAM Journal on Scientific Computing 35 (3), B701-B730, 2013
652013
Stabilization and scalable block preconditioning for the Navier–Stokes equations
EC Cyr, JN Shadid, RS Tuminaro
Journal of Computational Physics 231 (2), 345-363, 2012
422012
A first‐order system least‐squares finite element method for the Poisson‐Boltzmann equation
SD Bond, JH Chaudhry, EC Cyr, LN Olson
Journal of computational chemistry 31 (8), 1625-1635, 2010
412010
Robust training and initialization of deep neural networks: An adaptive basis viewpoint
EC Cyr, MA Gulian, RG Patel, M Perego, NA Trask
Mathematical and Scientific Machine Learning, 512-536, 2020
382020
The surfpack software library for surrogate modeling of sparse irregularly spaced multidimensional data
A Giunta, L Swiler, S Brown, M Eldred, M Richards, E Cyr
11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 7049, 2006
382006
Block preconditioners for stable mixed nodal and edge finite element representations of incompressible resistive MHD
EG Phillips, JN Shadid, EC Cyr, HC Elman, RP Pawlowski
SIAM Journal on Scientific Computing 38 (6), B1009-B1031, 2016
362016
Monolithic multigrid methods for two-dimensional resistive magnetohydrodynamics
JH Adler, TR Benson, EC Cyr, SP MacLachlan, RS Tuminaro
SIAM Journal on Scientific Computing 38 (1), B1-B24, 2016
362016
A block preconditioner for an exact penalty formulation for stationary MHD
EG Phillips, HC Elman, EC Cyr, JN Shadid, RP Pawlowski
SIAM Journal on Scientific Computing 36 (6), B930-B951, 2014
342014
A physics-informed operator regression framework for extracting data-driven continuum models
RG Patel, NA Trask, MA Wood, EC Cyr
Computer Methods in Applied Mechanics and Engineering 373, 113500, 2021
302021
Thermodynamically consistent physics-informed neural networks for hyperbolic systems
RG Patel, I Manickam, NA Trask, MA Wood, M Lee, I Tomas, EC Cyr
Journal of Computational Physics 449, 110754, 2022
232022
A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics
D Sondak, JN Shadid, AA Oberai, RP Pawlowski, EC Cyr, TM Smith
Journal of Computational Physics 295, 596-616, 2015
232015
Towards efficient backward-in-time adjoint computations using data compression techniques
EC Cyr, JN Shadid, T Wildey
Computer Methods in Applied Mechanics and Engineering 288, 24-44, 2015
222015
Approaches for adjoint-based a posteriori analysis of stabilized finite element methods
EC Cyr, J Shadid, T Wildey
SIAM Journal on Scientific Computing 36 (2), A766-A791, 2014
192014
Teko: A block preconditioning capability with concrete example applications in Navier--Stokes and MHD
EC Cyr, JN Shadid, RS Tuminaro
SIAM Journal on Scientific Computing 38 (5), S307-S331, 2016
172016
Partition of unity networks: deep hp-approximation
K Lee, NA Trask, RG Patel, MA Gulian, EC Cyr
arXiv preprint arXiv:2101.11256, 2021
162021
Performance of fully-coupled algebraic multigrid preconditioners for large-scale VMS resistive MHD
PT Lin, JN Shadid, JJ Hu, RP Pawlowski, EC Cyr
Journal of computational and applied mathematics 344, 782-793, 2018
142018
Towards extreme-scale simulations with next-generation Trilinos: a low Mach fluid application case study
P Lin, M Bettencourt, S Domino, T Fisher, M Hoemmen, J Hu, E Phipps, ...
2014 IEEE International Parallel & Distributed Processing Symposium …, 2014
142014
Enhancing least-squares finite element methods through a quantity-of-interest
JH Chaudhry, EC Cyr, K Liu, TA Manteuffel, LN Olson, L Tang
SIAM Journal on Numerical Analysis 52 (6), 3085-3105, 2014
142014
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