| Thermodynamically consistent physics-informed neural networks for hyperbolic systems RG Patel, I Manickam, NA Trask, MA Wood, M Lee, I Tomas, EC Cyr Journal of Computational Physics 449, 110754, 2022 | 101 | 2022 |
| A physics-informed operator regression framework for extracting data-driven continuum models RG Patel, NA Trask, MA Wood, EC Cyr Computer Methods in Applied Mechanics and Engineering 373, 113500, 2021 | 87 | 2021 |
| Robust training and initialization of deep neural networks: An adaptive basis viewpoint EC Cyr, MA Gulian, RG Patel, M Perego, NA Trask Mathematical and Scientific Machine Learning, 512-536, 2020 | 76 | 2020 |
| Verification of Eulerian–Eulerian and Eulerian–Lagrangian simulations for turbulent fluid–particle flows RG Patel, O Desjardins, B Kong, J Capecelatro, RO Fox AIChE Journal 63 (12), 5396-5412, 2017 | 50 | 2017 |
| GMLS-Nets: A framework for learning from unstructured data N Trask, RG Patel, BJ Gross, PJ Atzberger arXiv preprint arXiv:1909.05371, 2019 | 44 | 2019 |
| Euler–euler anisotropic gaussian mesoscale simulation of homogeneous cluster‐induced gas–particle turbulence B Kong, RO Fox, H Feng, J Capecelatro, R Patel, O Desjardins, RO Fox AIChE Journal 63 (7), 2630-2643, 2017 | 44 | 2017 |
| Microscale bioadhesive hydrogel arrays for cell engineering applications RG Patel, A Purwada, L Cerchietti, G Inghirami, A Melnick, AK Gaharwar, ... Cellular and molecular bioengineering 7, 394-408, 2014 | 44 | 2014 |
| Partition of unity networks: deep hp-approximation K Lee, NA Trask, RG Patel, MA Gulian, EC Cyr arXiv preprint arXiv:2101.11256, 2021 | 37 | 2021 |
| Three-dimensional conditional hyperbolic quadrature method of moments RG Patel, O Desjardins, RO Fox Journal of Computational Physics: X 1, 100006, 2019 | 24 | 2019 |
| An algorithm for solving the Navier–Stokes equations with shear-periodic boundary conditions and its application to homogeneously sheared turbulence MH Kasbaoui, RG Patel, DL Koch, O Desjardins journal of fluid mechanics 833, 687-716, 2017 | 20 | 2017 |
| Nonlinear integro-differential operator regression with neural networks RG Patel, O Desjardins arXiv preprint arXiv:1810.08552, 2018 | 13 | 2018 |
| A block coordinate descent optimizer for classification problems exploiting convexity RG Patel, NA Trask, MA Gulian, EC Cyr arXiv preprint arXiv:2006.10123, 2020 | 10 | 2020 |
| GMLS-Nets: A machine learning framework for unstructured data. NA Trask, RG Patel, B Gross, P Atzberger Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | 5 | 2020 |
| Reduced basis approximations of parameterized dynamical partial differential equations via neural networks P Sentz, K Beckwith, EC Cyr, LN Olson, R Patel arXiv preprint arXiv:2110.10775, 2021 | 4 | 2021 |
| Error-in-variables modelling for operator learning R Patel, I Manickam, M Lee, M Gulian Mathematical and Scientific Machine Learning, 142-157, 2022 | 3 | 2022 |
| Miniature medicine: nanobiomaterials for therapeutic delivery and cell engineering applications RG Patel, A Singh IEEE pulse 5 (2), 40-43, 2014 | 3 | 2014 |
| Machine learning methods for particle stress development in suspension Poiseuille flows AA Howard, J Dong, R Patel, M D’Elia, MR Maxey, P Stinis Rheologica Acta 62 (10), 507-534, 2023 | 1 | 2023 |
| Improving Medication Adherence Behaviors Through Personalized, Technology-Powered Interventions. JT Biehl, R Patel, AJ Lee IUI Workshops, 2021 | 1 | 2021 |
| GMLS-Nets: Scientific Machine Learning Methods for Unstructured Data N Trask, RG Patel, BJ Gross, PJ Atzberger Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2019 | 1 | 2019 |
| Mesoscale simulation and analysis of particle-laden flows RG Patel Cornell University, 2018 | 1 | 2018 |
