| 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 | 84 | 2020 |
| 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 | 70 | 2016 |
| 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 | 66 | 2013 |
| 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 | 57 | 2022 |
| 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 | 51 | 2020 |
| 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 | 50 | 2021 |
| 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 | 45 | 2010 |
| 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 | 42 | 2016 |
| 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 | 42 | 2012 |
| 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 | 39 | 2016 |
| 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 | 39 | 2006 |
| 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 | 38 | 2014 |
| Partition of unity networks: deep hp-approximation K Lee, NA Trask, RG Patel, MA Gulian, EC Cyr arXiv preprint arXiv:2101.11256, 2021 | 27 | 2021 |
| 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 | 25 | 2015 |
| 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 | 24 | 2015 |
| 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 | 19 | 2014 |
| 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 | 18 | 2016 |
| 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 | 16 | 2018 |
| Advancing fusion with machine learning research needs workshop report D Humphreys, A Kupresanin, MD Boyer, J Canik, CS Chang, EC Cyr, ... Journal of Fusion Energy 39, 123-155, 2020 | 15 | 2020 |
| 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 | 15 | 2014 |
John N. ShadidSandia National Labs, Computational Mathematics Dept.; Univ. of New Mexico, Mathematics Dept.Verified email at sandia.gov
