Eric C. Cyr
Orcid: 0000-0003-3833-9598
According to our database1,
Eric C. Cyr
authored at least 39 papers
between 2002 and 2024.
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Bibliography
2024
Comput. Math. Appl., January, 2024
2023
A 2-Level Domain Decomposition Preconditioner for KKT Systems with Heat-Equation Constraints.
CoRR, 2023
2022
Thermodynamically consistent physics-informed neural networks for hyperbolic systems.
J. Comput. Phys., 2022
J. Comput. Phys., 2022
CoRR, 2022
Proceedings of the Mathematical and Scientific Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Reduced Basis Approximations of Parameterized Dynamical Partial Differential Equations via Neural Networks.
CoRR, 2021
A Monolithic Algebraic Multigrid Framework for Multiphysics Applications with Examples from Resistive MHD.
CoRR, 2021
A Block Coordinate Descent Optimizer for Classification Problems Exploiting Convexity.
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021
2020
SIAM J. Math. Data Sci., 2020
A linearity preserving nodal variation limiting algorithm for continuous Galerkin discretization of ideal MHD equations.
J. Comput. Phys., 2020
Regular sensitivity computation avoiding chaotic effects in particle-in-cell plasma methods.
J. Comput. Phys., 2020
A physics-informed operator regression framework for extracting data-driven continuum models.
CoRR, 2020
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint.
Proceedings of Mathematical and Scientific Machine Learning, 2020
2019
J. Comput. Phys., 2019
CoRR, 2019
2018
Scalable Preconditioners for Structure Preserving Discretizations of Maxwell Equations in First Order Form.
SIAM J. Sci. Comput., 2018
Performance of fully-coupled algebraic multigrid preconditioners for large-scale VMS resistive MHD.
J. Comput. Appl. Math., 2018
2016
Block Preconditioners for Stable Mixed Nodal and Edge finite element Representations of Incompressible Resistive MHD.
SIAM J. Sci. Comput., 2016
Teko: A Block Preconditioning Capability with Concrete Example Applications in Navier-Stokes and MHD.
SIAM J. Sci. Comput., 2016
SIAM J. Sci. Comput., 2016
Stabilized FE simulation of prototype thermal-hydraulics problems with integrated adjoint-based capabilities.
J. Comput. Phys., 2016
2015
A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics.
J. Comput. Phys., 2015
2014
SIAM J. Sci. Comput., 2014
Approaches for Adjoint-Based A Posteriori Analysis of Stabilized Finite Element Methods.
SIAM J. Sci. Comput., 2014
SIAM J. Numer. Anal., 2014
Towards Extreme-Scale Simulations with Next-Generation Trilinos: A Low Mach Fluid Application Case Study.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014
2013
A New Approximate Block Factorization Preconditioner for Two-Dimensional Incompressible (Reduced) Resistive MHD.
SIAM J. Sci. Comput., 2013
2012
Goal-Oriented Adaptivity and Multilevel Preconditioning for the Poisson-Boltzmann Equation.
J. Sci. Comput., 2012
J. Comput. Phys., 2012
2010
A first-order system least-squares finite element method for the Poisson-Boltzmann equation.
J. Comput. Chem., 2010
2008
PhD thesis, 2008
2007
J. Comput. Phys., 2007
2002
Proceedings of the Computational Science - ICCS 2002, 2002