Eric J. Parish

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 13

Top Topics

Machine Learning

Dynamical Systems

Top Venues

J. Comput. Phys.

Publications

Eric J. Parish, Francesco Rizzi
On the impact of dimensionally-consistent and physics-based inner products for POD-Galerkin and least-squares model reduction of compressible flows. J. Comput. Phys. 491 (2023)
Jorio Cocola, John Tencer, Francesco Rizzi, Eric J. Parish, Patrick J. Blonigan
Hyper-Reduced Autoencoders for Efficient and Accurate Nonlinear Model Reductions. CoRR (2023)
Eric J. Parish, Masayuki Yano, Irina Tezaur, Traian Iliescu
Residual-based stabilized reduced-order models of the transient convection-diffusion-reaction equation obtained through discrete and continuous projection. CoRR (2023)
Eric J. Parish, Francesco Rizzi
On the impact of dimensionally-consistent and physics-based inner products for POD-Galerkin and least-squares model reduction of compressible flows. CoRR (2022)
Ruhui Jin, Francesco Rizzi, Eric J. Parish
Space-time reduced-order modeling for uncertainty quantification. CoRR (2021)
Eric J. Parish, Kevin T. Carlberg
Windowed least-squares model reduction for dynamical systems. J. Comput. Phys. 426 (2021)
Francesco Rizzi, Eric J. Parish, Patrick J. Blonigan, John Tencer
A compute-bound formulation of Galerkin model reduction for linear time-invariant dynamical systems. CoRR (2020)
Yukiko S. Shimizu, Eric J. Parish
Windowed space-time least-squares Petrov-Galerkin method for nonlinear model order reduction. CoRR (2020)
Kookjin Lee, Eric J. Parish
Parameterized Neural Ordinary Differential Equations: Applications to Computational Physics Problems. CoRR (2020)
Eric J. Parish, Kevin T. Carlberg
Time-series machine-learning error models for approximate solutions to parameterized dynamical systems. CoRR (2019)
Eric J. Parish, Kevin T. Carlberg
Windowed least-squares model reduction for dynamical systems. CoRR (2019)
Eric J. Parish, Karthik Duraisamy
A dynamic subgrid scale model for Large Eddy Simulations based on the Mori-Zwanzig formalism. J. Comput. Phys. 349 (2017)
Eric J. Parish, Karthik Duraisamy
A paradigm for data-driven predictive modeling using field inversion and machine learning. J. Comput. Phys. 305 (2016)