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Eric Parish, Kevin T. Carlberg (2019). Windowed least-squares model reduction for dynamical systems.

Eric Parish, Kevin T. Carlberg (2019). Time-series machine-learning error models for approximate solutions to parameterized dynamical systems.

Eric Parish, Christopher Wentland, Karthik Duraisamy (2019). The Adjoint--Petrov Galerkin Method for Non-linear Model Reduction.

Eric Parish, Karthik Duraisamy (2017). A dynamic subgrid scale model for Large Eddy Simulations based on the Mori–Zwanzig formalism.

Eric Parish, Karthik Duraisamy (2017). Non-Markovian closure models for large eddy simulations using the Mori-Zwanzig formalism.

Eric Parish, Karthik Duraisamy (2016). A paradigm for data-driven predictive modeling using field inversion and machine learning.

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