| Prototype Whole Atmosphere Global Numerical Weather Prediction System Based on a 0-500 km Extension of the Navy Global Environmental Model (NAVGEM) SD Eckermann, C Barton, D Kuhl, M Herrera, K Hoppel, E Satterfield, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing A Wikner, J Harvey, M Girvan, BR Hunt, A Pomerance, T Antonsen, E Ott Neural Networks 170, 94-110, 2024 | 3 | 2024 |
| A hybrid atmospheric model incorporating machine learning can capture dynamical processes not captured by its physics‐based component T Arcomano, I Szunyogh, A Wikner, BR Hunt, E Ott Geophysical Research Letters 50 (8), e2022GL102649, 2023 | 9 | 2023 |
| A hybrid atmospheric model incorporating machine learning can capture dynamical processes not captured by its physics-based component T Arcomano, I Szunyogh, A Wikner, BR Hunt, E Ott Authorea Preprints, 2022 | 3 | 2022 |
| Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization A Wikner, J Harvey, M Girvan, BR Hunt, A Pomerance, T Antonsen, E Ott arXiv preprint arXiv:2211.05262, 2022 | 1 | 2022 |
| A hybrid approach to atmospheric modeling that combines machine learning with a physics‐based numerical model T Arcomano, I Szunyogh, A Wikner, J Pathak, BR Hunt, E Ott Journal of Advances in Modeling Earth Systems 14 (3), e2021MS002712, 2022 | 38 | 2022 |
| Evaluation of a Hybrid Approach to Atmospheric Modeling that Combines Machine Learning with a General Circulation Model T Arcomano, I Szunyogh, A Wikner, J Pathak, B Hunt, E Ott AGU Fall Meeting Abstracts 2021, A15Q-08, 2021 | | 2021 |
| Reservoir computing using networks of cmos logic gates H Komkov, L Pocher, A Restelli, B Hunt, D Lanthrop International Conference on Neuromorphic Systems 2021, 1-7, 2021 | 3 | 2021 |
| RF signal classification using Boolean reservoir computing on an FPGA H Komkov, L Pocher, A Restelli, B Hunt, D Lathrop 2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021 | 7 | 2021 |
| Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components A Wikner, J Pathak, BR Hunt, I Szunyogh, M Girvan, E Ott Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (5), 2021 | 39 | 2021 |
| Machine-Learning-Assisted Hybrid Earth System Modelling I Szunyogh, E Ott, B Hunt Texas A & M Univ. at Galveston, TX (United States); Univ. of Maryland …, 2021 | | 2021 |
| Machine learning predictions of high Reynolds number rotating MHD turbulence A Perevalov, R Rojas, B Hunt, D Lathrop APS Division of Fluid Dynamics Meeting Abstracts, F29. 003, 2021 | | 2021 |
| Hybrid Weather Prediction: A Blend of Machine Learning and Numerical Modeling T Arcomano, I Szunyogh, E Ott, B Hunt, A Wikner AGU Fall Meeting Abstracts 2020, A056-01, 2020 | 1 | 2020 |
| Backpropagation algorithms and reservoir computing in recurrent neural networks for the forecasting of complex spatiotemporal dynamics PR Vlachas, J Pathak, BR Hunt, TP Sapsis, M Girvan, E Ott, ... Neural Networks 126, 191-217, 2020 | 368 | 2020 |
| A machine learning‐based global atmospheric forecast model T Arcomano, I Szunyogh, J Pathak, A Wikner, BR Hunt, E Ott Geophysical Research Letters 47 (9), e2020GL087776, 2020 | 122 | 2020 |
| Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems A Wikner, J Pathak, B Hunt, M Girvan, T Arcomano, I Szunyogh, ... Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (5), 2020 | 73 | 2020 |
| A nonlinear and statistical physics approach to machine learning electronic hardware D Lathrop, L Shaughnessy, B Hunt, H Komkov, A Restelli Bulletin of the American Physical Society 65, 2020 | | 2020 |
| Separation of chaotic signals by reservoir computing S Krishnagopal, M Girvan, E Ott, BR Hunt Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (2), 2020 | 44 | 2020 |
| Evaluation of a Hybrid Modeling Approach to Predict the Atmospheric State by Blending Numerical Modeling and Machine Learning TJ Arcomano, I Szunyogh, B Hunt, E Ott 100th American Meteorological Society Annual Meeting, 2020 | | 2020 |
| The recurrent processing unit: Hardware for high speed machine learning H Komkov, A Restelli, B Hunt, L Shaughnessy, I Shani, DP Lathrop arXiv preprint arXiv:1912.07363, 2019 | 4 | 2019 |
