| 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 | 717 | 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 | 518 | 2021 |
| Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: Reservoir computing, ANN, and RNN-LSTM A Chattopadhyay, P Hassanzadeh, D Subramanian Nonlinear Processes in Geophysics Discussions 2020, 1-26, 2020 | 260 | 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 | 210 | 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 | 177 | 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 | 101 | 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 | 90 | 2021 |
| 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 | 70* | 2022 |
| 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 | 69 | 2020 |
| 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 | 56 | 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 | 54 | 2023 |
| Deep spatial transformers for autoregressive data-driven forecasting of geophysical turbulence KK Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh EarthArxiv, 2020 | 33* | 2020 |
| 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 | 27 | 2023 |
| 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 | 26 | 2023 |
| 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 | 25 | 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 | 21* | 2022 |
| Learning closed‐form equations for subgrid‐scale closures from high‐fidelity data: Promises and challenges K Jakhar, Y Guan, R Mojgani, A Chattopadhyay, P Hassanzadeh Journal of Advances in Modeling Earth Systems 16 (7), e2023MS003874, 2024 | 18 | 2024 |
| Lucie: A lightweight uncoupled climate emulator with long-term stability and physical consistency for o (1000)-member ensembles H Guan, T Arcomano, A Chattopadhyay, R Maulik arXiv preprint arXiv:2405.16297, 2024 | 15 | 2024 |
| OceanNet: A principled neural operator-based digital twin for regional oceans A Chattopadhyay, M Gray, T Wu, AB Lowe, R He Scientific Reports 14 (1), 21181, 2024 | 13 | 2024 |
| 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 |
Pedram HassanzadehAssociate Professor, University of ChicagoПідтверджена електронна адреса в uchicago.edu