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Adam Subel
Adam Subel
Graduate Student, New York University
在 nyu.edu 的电子邮件经过验证
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引用次数
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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
752022
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
722021
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
632020
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
372023
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
372023
Building Ocean Climate Emulators
A Subel, L Zanna
arXiv preprint arXiv:2402.04342, 2024
42024
Transfer Learning for Emulating Ocean Climate Variability across forcing
S Dheeshjith, A Subel, S Gupta, A Adcroft, C Fernandez-Granda, ...
arXiv preprint arXiv:2405.18585, 2024
12024
Data-driven surrogate models for climate modeling: application of echo state networks, RNN-LSTM and ANN to the multi-scale Lorenz system as a test case
A Chattopadhyay, K Ashesh, P Hassanzadeh, D Subramanian, K Palem, ...
ICML 2019 Workshop on Climate Change: How Can AI Help?, 2019
12019
Explainable Deep Learning for Climate Applications Using the Spectral Analysis of Regression Activations and Kernels (SpARK) Framework
Y Guan, AK Chattopadhyay, A Subel, HA Pahlavan, P Hassanzadeh
104th AMS Annual Meeting, 2024
2024
Towards stable time-dependent climate emulation through the formulation of a boundary value problem
A Subel, L Zanna
AGU23, 2023
2023
Explainable deep learning for fluid dynamics using a Fourier-wavelet analysis framework
P Hassanzadeh, A Chattopadhyay, Y Guan, H Pahlavan, A Subel
Bulletin of the American Physical Society, 2023
2023
Integrating the spectral analyses of neural networks and climate physics for stable, explainable, and generalizable models
P Hassanzadeh, Y Guan, A Subel, A Chattopadhyay
APS March Meeting Abstracts 2023, W53. 006, 2023
2023
Explainable transfer learning for generalizable subgrid-scale modeling
P Hassanzadeh, A Subel, AK Chattopadhyay, Y Guan, L Zanna, A Ross
AGU Fall Meeting Abstracts 2022, NG16A-06, 2022
2022
Combining spectral analyses of turbulent flows and neural networks for explainable data-driven closure modeling
P Hassanzadeh, A Subel, Y GUAN, A Chattopadhyay
Bulletin of the American Physical Society 67, 2022
2022
Physics-Constrained Data-Driven Subgrid-Scale Models for Large Eddy Simulation in the Small-Data Regime
Y Guan, A Subel, AK Chattopadhyay, P Hassanzadeh
102nd American Meteorological Society Annual Meeting, 2022
2022
Interpretable transfer learning: Applications to climate change modeling
P Hassanzadeh, A Subel, A Chattopadhyay, Y Guan
APS March Meeting Abstracts 2022, A10. 005, 2022
2022
Physics-constrained data-driven subgrid-scale parameterization of 2D turbulence in the small-data regime
Y Guan, A Subel, A Chattopadhyay, P Hassanzadeh
APS March Meeting Abstracts 2022, Q11. 010, 2022
2022
Data-driven subgrid-scale parameterization of forced 2D turbulence in the small-data limit
Y Guan, A Subel, A Chattopadhyay, P Hassanzadeh
AGU Fall Meeting Abstracts 2021, NG15A-0417, 2021
2021
Stable and accurate a posteriori LES of 2D turbulence with convolutional neural networks: Backscatter analysis and generalization via transfer learning
Y Guan, A Chattopadhyay, A Subel, P Hassanzadeh
EGU General Assembly Conference Abstracts, EGU21-402, 2021
2021
Data-driven subgrid-scale parameterization of turbulence in the small-data limit
Y Guan, A Subel, A Chattopadhyay, P Hassanzadeh
APS Division of Fluid Dynamics Meeting Abstracts, A11. 005, 2021
2021
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