Operator learning for reconstructing flow fields from sparse measurements: An energy transformer approach
- Qian Zhang
- Dmitry Krotov
- et al.
- 2025
- Journal of Computational Physics
Publications
55 results at Journal of Computational Physics
Algorithms for perturbative analysis and simulation of quantum dynamics
- Daniel Puzzuoli
- Sophia Fuhui Lin
- et al.
- 2023
- Journal of Computational Physics
Bridging Mean-Field Games and Normalizing Flows with Trajectory Regularization
- Han Huang
- Jiajia Yu
- et al.
- 2023
- Journal of Computational Physics
Nonlocal kernel network (NKN): A stable and resolution-independent deep neural network
- Huaiqian You
- Yue Yu
- et al.
- 2022
- Journal of Computational Physics
Artificial intelligence for accelerating time integrations in multiscale modeling
- Changnian Han
- Peng Zhang
- et al.
- 2021
- Journal of Computational Physics
Using deep learning to extend the range of air pollution monitoring and forecasting
- Philipp Hähnel
- Jakub Marecek
- et al.
- 2020
- Journal of Computational Physics
Data-driven reconstruction of nonlinear dynamics from sparse observation
- Kyongmin Yeo
- 2019
- Journal of Computational Physics
Localised sequential state estimation for advection dominated flows with non-Gaussian uncertainty description
- Emanuele Ragnoli
- Mykhaylo Zayats
- et al.
- 2019
- Journal of Computational Physics
Deep learning algorithm for data-driven simulation of noisy dynamical system
- Kyongmin Yeo
- Igor Melnyk
- 2019
- Journal of Computational Physics
Electronic coarse graining enhances the predictive power of molecular simulation allowing challenges in water physics to be addressed
- Flaviu Cipcigan
- V. P. Sokhan
- et al.
- 2016
- Journal of Computational Physics