Algorithms for perturbative analysis and simulation of quantum dynamics
- Daniel Puzzuoli
- Sophia Fuhui Lin
- et al.
- 2023
- Journal of Computational Physics
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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
An evaluation of noise reduction algorithms for particle-based fluid simulations in multi-scale applications
- Małgorzata J. Zimoń
- R. Prosser
- et al.
- 2016
- Journal of Computational Physics