| Continuous Data Assimilation for the Three-Dimensional Navier--Stokes Equations A Biswas, R Price SIAM Journal on Mathematical Analysis 53 (6), 6697-6723, 2021 | 31 | 2021 |
| On surrogate learning for linear stability assessment of Navier-Stokes equations with stochastic viscosity B Sousedík, HC Elman, K Lee, R Price Applications of Mathematics 67 (6), 727-749, 2022 | 5 | 2022 |
| Data assimilation with deep neural nets informed by nudging H Antil, R Löhner, R Price Reduction, Approximation, Machine Learning, Surrogates, Emulators and …, 2024 | 4 | 2024 |
| A note on dimensionality reduction in deep neural networks using empirical interpolation method H Antil, M Gupta, R Price arXiv preprint arXiv:2305.09842, 2023 | 3 | 2023 |
| A stochastic Galerkin method with adaptive time-stepping for the Navier–Stokes equations B Sousedík, R Price Journal of Computational Physics 468, 111456, 2022 | 2 | 2022 |
| NINNs: Nudging induced neural networks H Antil, R Löhner, R Price Physica D: Nonlinear Phenomena, 134364, 2024 | 1 | 2024 |
| Topics in Data Assimilation and Stochastic Partial Differential Equations R Price University of Maryland, Baltimore County, 2021 | 1 | 2021 |
| Data assimilation for the three dimensional Navier-Stokes equations A Biswas, R Price 2020 Fall Western Virtual Sectional Meeting, 0 | | |
