| Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ... arXiv preprint arXiv:2202.11214, 2022 | 415 | 2022 |
| Physics-informed machine learning: case studies for weather and climate modelling K Kashinath, M Mustafa, A Albert, JL Wu, C Jiang, S Esmaeilzadeh, ... Philosophical Transactions of the Royal Society A 379 (2194), 20200093, 2021 | 376 | 2021 |
| Data-driven predictions of a multiscale Lorenz 96 chaotic system using machine-learning methods: Reservoir computing, artificial neural network, and long short-term memory network A Chattopadhyay, P Hassanzadeh, D Subramanian Nonlinear Processes in Geophysics 27 (3), 373-389, 2020 | 216 | 2020 |
| Analog Forecasting of Extreme‐Causing Weather Patterns Using Deep Learning C Ashesh, N Ebrahim, H Pedram Journal of Advances in Modeling Earth Systems 12 (2), 2020 | 175 | 2020 |
| Predicting clustered weather patterns: A test case for applications of convolutional neural networks to spatio-temporal climate data A Chattopadhyay, P Hassanzadeh, S Pasha Scientific reports 10 (1), 1317, 2020 | 144 | 2020 |
| Stable a posteriori LES of 2D turbulence using convolutional neural networks: Backscattering analysis and generalization to higher Re via transfer learning Y Guan, A Chattopadhyay, A Subel, P Hassanzadeh Journal of Computational Physics 458, 111090, 2022 | 75 | 2022 |
| Data-driven subgrid-scale modeling of forced Burgers turbulence using deep learning with generalization to higher Reynolds numbers via transfer learning A Subel, A Chattopadhyay, Y Guan, P Hassanzadeh Physics of Fluids 33 (3), 2021 | 72 | 2021 |
| Data‐driven super‐parameterization using deep learning: Experimentation with multiscale Lorenz 96 systems and transfer learning A Chattopadhyay, A Subel, P Hassanzadeh Journal of Advances in Modeling Earth Systems 12 (11), e2020MS002084, 2020 | 63 | 2020 |
| Towards physics-inspired data-driven weather forecasting: Integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5 A Chattopadhyay, M Mustafa, P Hassanzadeh, E Bach, K Kashinath Geoscientific Model Development 15 (5), 2221-2237, 2022 | 52* | 2022 |
| Explaining the physics of transfer learning in data-driven turbulence modeling A Subel, Y Guan, A Chattopadhyay, P Hassanzadeh PNAS nexus 2 (3), pgad015, 2023 | 37 | 2023 |
| Learning physics-constrained subgrid-scale closures in the small-data regime for stable and accurate LES Y Guan, A Subel, A Chattopadhyay, P Hassanzadeh Physica D: Nonlinear Phenomena 443, 133568, 2023 | 37 | 2023 |
| Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators, arXiv J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ... arXiv preprint arXiv:2202.11214, 2022 | 33 | 2022 |
| Deep spatial transformers for autoregressive data-driven forecasting of geophysical turbulence KK Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh EarthArxiv, 2020 | 28* | 2020 |
| Transfer learning of deep neural networks for predicting thermoacoustic instabilities in combustion systems S Mondal, A Chattopadhyay, A Mukhopadhyay, A Ray Energy and AI 5, 100085, 2021 | 21 | 2021 |
| Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto–Sivashinsky test case R Mojgani, A Chattopadhyay, P Hassanzadeh Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (6), 2022 | 20* | 2022 |
| Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems A Chattopadhyay, E Nabizadeh, E Bach, P Hassanzadeh Journal of Computational Physics 477, 111918, 2023 | 16 | 2023 |
| Spline based shape prediction and analysis of uniformly rotating sessile and pendant droplets K Jakhar, A Chattopadhyay, A Thakur, R Raj Langmuir 33 (22), 5603-5612, 2017 | 11 | 2017 |
| Long-term instabilities of deep learning-based digital twins of the climate system: The cause and a solution A Chattopadhyay, P Hassanzadeh arXiv preprint arXiv:2304.07029, 2023 | 9 | 2023 |
| Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence A Chattopadhyay, J Pathak, E Nabizadeh, W Bhimji, P Hassanzadeh Environmental Data Science 2, e1, 2023 | 8 | 2023 |
| Field Predictions of Hypersonic Cones Using Physics-Informed Neural Networks D Villanueva, B Paez, A Rodriguez, A Chattopadhyay, VMK Kotteda, ... Fluids Engineering Division Summer Meeting 85840, V002T05A015, 2022 | 8 | 2022 |
Pedram HassanzadehAssociate Professor, University of Chicago在 uchicago.edu 的电子邮件经过验证
