| Randomized automatic differentiation D Oktay, N McGreivy, J Aduol, A Beatson, RP Adams arXiv preprint arXiv:2007.10412, 2020 | 32 | 2020 |
| Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations N McGreivy, A Hakim Nature Machine Intelligence 6 (10), 1256-1269, 2024 | 29 | 2024 |
| Optimized finite-build stellarator coils using automatic differentiation N McGreivy, SR Hudson, C Zhu Nuclear Fusion 61 (2), 026020, 2021 | 29 | 2021 |
| Direct fusion drive for interstellar exploration SA Cohen, C Swanson, N McGreivy, A Raja, E Evans, P Jandovitz, ... JBIS-Journal of the British Interplanetary Society 72 (2), 37-50, 2019 | 29 | 2019 |
| Fusion-enabled pluto orbiter and lander SJ Thomas, M Paluszek, S Cohen, N McGreivy, E Evans AIAA SPACE and Astronautics Forum and Exposition, 5276, 2017 | 16 | 2017 |
| Meta-pde: Learning to solve pdes quickly without a mesh T Qin, A Beatson, D Oktay, N McGreivy, RP Adams arXiv preprint arXiv:2211.01604, 2022 | 12 | 2022 |
| Invariant preservation in machine learned PDE solvers via error correction N McGreivy, A Hakim arXiv preprint arXiv:2303.16110, 2023 | 9 | 2023 |
| Convolutional layers are not translation equivariant N McGreivy, A Hakim arXiv preprint arXiv:2206.04979, 2022 | 7 | 2022 |
| Computation of the Biot-Savart line integral with higher-order convergence using straight segments N McGreivy, C Zhu, L Gunderson, SR Hudson arXiv preprint arXiv:2105.12522, 2021 | 5 | 2021 |
| SULI Report: UEDGE simulations of a direct fusion drive FRC rocket N McGreivy Summer internship report, Princeton Plasma Physics Laboratory, Princeton …, 2016 | 5 | 2016 |
| Methods of improving spatial resolution for IR spectroscopy in atmospheric-pressure plasma systems N McGreivy, MA Jaworski Review of Scientific Instruments 89 (10), 2018 | 2 | 2018 |
| Convolutional layers are equivariant to discrete shifts but not continuous translations N McGreivy, A Hakim arXiv preprint arXiv:2206.04979, 2022 | 1 | 2022 |
| Differentiable Programming for Computational Plasma Physics NB McGreivy Princeton University, 2024 | | 2024 |
| Fast convergence methods for calculating the magnetic field from coils C Zhu, N McGreivy, S Hudson APS Division of Plasma Physics Meeting Abstracts 2020, PP12. 013, 2020 | | 2020 |
| Deep Learning Studies Linking Tokamak Disruption to Neoclassical Tearing Modes (NTM's) G Dong, J Kates-Harbeck, N McGreivy, Z Lin, W Tang APS Division of Plasma Physics Meeting Abstracts 2019, PP10. 106, 2019 | | 2019 |
| Physics-Informed Neural Networks for Solving PDEs in Plasma Physics N McGreivy APS Division of Plasma Physics Meeting Abstracts 2019, YP10. 048, 2019 | | 2019 |
| UEDGE Simulations for Power and Particle Flow Analysis of FRC Rocket F Zheng, ES Evans, N McGreivy, A Kaptanoglu, O Izacard, SA Cohen APS Division of Plasma Physics Meeting Abstracts 2017, NP11. 120, 2017 | | 2017 |
| GENERAL PLASMA PHYSICS LECTURE NOTES N McGreivy | | 2017 |
| UEDGE modeling of a small-s FRC reactor's asymmetric scrape-off-layer (SOL) N McGreivy, A Raja, E Evans, O Izacard, T Rognlien, S Cohen APS Division of Plasma Physics Meeting Abstracts 2016, CP10. 091, 2016 | | 2016 |
| Fusion Ash Separation in the Princeton Field-Reversed Configuration Reactor J Abbate, M Yeh, N McGreivy, S Cohen APS Division of Plasma Physics Meeting Abstracts 2016, TP10. 065, 2016 | | 2016 |