Seuraa
Ashesh Chattopadhyay
Ashesh Chattopadhyay
Vahvistettu sähköpostiosoite verkkotunnuksessa ucsc.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
3282022
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
3252021
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
2102020
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
1632020
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
1312020
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
692022
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
672021
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
622020
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
49*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
312023
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
302023
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
282022
Deep spatial transformers for autoregressive data-driven forecasting of geophysical turbulence
KK Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh
EarthArxiv, 2020
27*2020
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
18*2022
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
182021
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
142023
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
112017
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
82023
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
82022
A framework to integrate MFiX with Trilinos for high fidelity fluidized bed computations
VMK Kotteda, A Chattopadhyay, V Kumar, W Spotz
2016 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2016
72016
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Artikkelit 1–20