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Zongyi Li
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Fourier neural operator for parametric partial differential equations
Z Li, N Kovachki, K Azizzadenesheli, B Liu, K Bhattacharya, A Stuart, ...
International Conference on Learning Representations, 2021, 2021
2604*2021
Neural operator: Learning maps between function spaces
N Kovachki, Z Li, B Liu, K Azizzadenesheli, K Bhattacharya, A Stuart, ...
Journal of Machine Learning Research, (89):1−97, 2023., 2021
821*2021
Neural operator: Graph kernel network for partial differential equations
Z Li, N Kovachki, K Azizzadenesheli, B Liu, K Bhattacharya, A Stuart, ...
ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020
7942020
Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators
J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ...
PASC '23: Proceedings of the Platform for Advanced Scientific Computing …, 2023
658*2023
Physics-informed neural operator for learning partial differential equations
Z Li, H Zheng, N Kovachki, D Jin, H Chen, B Liu, K Azizzadenesheli, ...
ACM/JMS Journal of Data Science 1 (3), 1-27, 2024
4452024
Multipole graph neural operator for parametric partial differential equations
Z Li, N Kovachki, K Azizzadenesheli, B Liu, A Stuart, K Bhattacharya, ...
Advances in Neural Information Processing Systems 33, 6755-6766, 2020
3982020
U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow
G Wen, Z Li, K Azizzadenesheli, A Anandkumar, SM Benson
Advances in Water Resources 163, 104180, 2022
3402022
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers
J Guibas, M Mardani, Z Li, A Tao, A Anandkumar, B Catanzaro
International Conference on Learning Representations, 2022, 2021
298*2021
Fourier neural operator with learned deformations for pdes on general geometries
Z Li, DZ Huang, B Liu, A Anandkumar
Journal of Machine Learning Research 24 (388), 1-26, 2023
2312023
Markov neural operators for learning chaotic systems
Z Li, M Liu-Schiaffini, N Kovachki, K Azizzadenesheli, B Liu, ...
Advances in Neural Information Processing Systems, 2022, 2021
103*2021
Neural operators for accelerating scientific simulations and design
K Azizzadenesheli, N Kovachki, Z Li, M Liu-Schiaffini, J Kossaifi, ...
Nature Reviews Physics, 1-9, 2024
782024
Real-time high-resolution CO 2 geological storage prediction using nested Fourier neural operators
G Wen, Z Li, Q Long, K Azizzadenesheli, A Anandkumar, SM Benson
Energy & Environmental Science 16 (4), 1732-1741, 2023
71*2023
A learning-based multiscale method and its application to inelastic impact problems
B Liu, N Kovachki, Z Li, K Azizzadenesheli, A Anandkumar, A Stuart, ...
Journal of the Mechanics and Physics of Solids, 2021
712021
Geometry-informed neural operator for large-scale 3d pdes
Z Li, N Kovachki, C Choy, B Li, J Kossaifi, S Otta, MA Nabian, M Stadler, ...
Advances in Neural Information Processing Systems 36, 2024
572024
The nonlocal neural operator: Universal approximation
S Lanthaler, Z Li, AM Stuart
Constructive Approximation, 2024
382024
Fourier neural operator for plasma modelling
V Gopakumar, S Pamela, L Zanisi, Z Li, A Anandkumar, M Team
Nuclear Fusion, 2024
29*2024
Generic lithography modeling with dual-band optics-inspired neural networks
H Yang, Z Li, K Sastry, S Mukhopadhyay, M Kilgard, A Anandkumar, ...
Proceedings of the 59th ACM/IEEE Design Automation Conference, 973-978, 2022
262022
Incremental fourier neural operator
J Zhao, RJ George, Y Zhang, Z Li, A Anandkumar
TMLR, 2024
20*2024
Forecasting subcritical cylinder wakes with Fourier Neural Operators
PI Renn, C Wang, S Lale, Z Li, A Anandkumar, M Gharib
arXiv preprint arXiv:2301.08290, 2023
162023
Machine learning accelerated pde backstepping observers
Y Shi, Z Li, H Yu, D Steeves, A Anandkumar, M Krstic
2022 IEEE 61st Conference on Decision and Control (CDC), 5423-5428, 2022
152022
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