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ORCIDEric J. Parish
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2020 – today
- 2023
[j4]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: 112387 (2023)- [i9]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 abs/2302.09355 (2023) - [i8]Jorio Cocola, John Tencer, Francesco Rizzi, Eric J. Parish, Patrick J. Blonigan:
Hyper-Reduced Autoencoders for Efficient and Accurate Nonlinear Model Reductions. CoRR abs/2303.09630 (2023) - 2022
- [i7]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 abs/2203.16492 (2022) - 2021
- [j3]Eric J. Parish, Kevin T. Carlberg:
Windowed least-squares model reduction for dynamical systems. J. Comput. Phys. 426: 109939 (2021) - [i6]Ruhui Jin, Francesco Rizzi, Eric J. Parish:
Space-time reduced-order modeling for uncertainty quantification. CoRR abs/2111.06435 (2021) - 2020
- [i5]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 abs/2009.11742 (2020) - [i4]Kookjin Lee, Eric J. Parish:
Parameterized Neural Ordinary Differential Equations: Applications to Computational Physics Problems. CoRR abs/2010.14685 (2020) - [i3]Yukiko S. Shimizu, Eric J. Parish:
Windowed space-time least-squares Petrov-Galerkin method for nonlinear model order reduction. CoRR abs/2012.06073 (2020)
2010 – 2019
- 2019
- [i2]Eric J. Parish, Kevin T. Carlberg:
Time-series machine-learning error models for approximate solutions to parameterized dynamical systems. CoRR abs/1907.11822 (2019) - [i1]Eric J. Parish, Kevin T. Carlberg:
Windowed least-squares model reduction for dynamical systems. CoRR abs/1910.11388 (2019) - 2017
- [j2]Eric J. Parish, Karthik Duraisamy:
A dynamic subgrid scale model for Large Eddy Simulations based on the Mori-Zwanzig formalism. J. Comput. Phys. 349: 154-175 (2017) - 2016
- [j1]Eric J. Parish, Karthik Duraisamy
:
A paradigm for data-driven predictive modeling using field inversion and machine learning. J. Comput. Phys. 305: 758-774 (2016)
Coauthor Index
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