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Zhong Yi Wan
Zhong Yi Wan
Bestätigte E-Mail-Adresse bei google.com
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Zitiert von
Jahr
Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks
PR Vlachas, W Byeon, ZY Wan, TP Sapsis, P Koumoutsakos
Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2018
4852018
Data-assisted reduced-order modeling of extreme events in complex dynamical systems
ZY Wan, P Vlachas, P Koumoutsakos, T Sapsis
PloS one 13 (5), e0197704, 2018
2322018
Machine learning the kinematics of spherical particles in fluid flows
ZY Wan, TP Sapsis
Journal of Fluid Mechanics 857, R2, 2018
452018
Reduced-space Gaussian Process Regression for data-driven probabilistic forecast of chaotic dynamical systems
ZY Wan, TP Sapsis
Physica D: Nonlinear Phenomena 345, 40-55, 2017
412017
Bubbles in turbulent flows: Data-driven, kinematic models with history terms
ZY Wan, P Karnakov, P Koumoutsakos, TP Sapsis
International Journal of Multiphase Flow 129, 103286, 2020
112020
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
ZY Wan, L Zepeda-Núñez, A Boral, F Sha
The Eleventh International Conference on Learning Representations, 2023
92023
A data-driven framework for the stochastic reconstruction of small-scale features with application to climate data sets
ZY Wan, B Dodov, C Lessig, H Dijkstra, TP Sapsis
Journal of Computational Physics 442, 110484, 2021
92021
Fatigue delamination growth for an adhesively-bonded composite joint under mode I loading
C Li, T Teng, Z Wan, G Li, C Rans
27th ICAF Symposium. Jerusalem, 2013
52013
Debias coarsely, sample conditionally: Statistical downscaling through optimal transport and probabilistic diffusion models
ZY Wan, R Baptista, A Boral, YF Chen, J Anderson, F Sha, ...
Advances in Neural Information Processing Systems 36, 2024
42024
Neural ideal large eddy simulation: Modeling turbulence with neural stochastic differential equations
A Boral, ZY Wan, L Zepeda-Núñez, J Lottes, Q Wang, Y Chen, J Anderson, ...
Advances in Neural Information Processing Systems 36, 2024
32024
Physics-constrained machine learning strategies for turbulent flows and bubble dynamics
ZY Wan
Massachusetts Institute of Technology, 2020
22020
Data-assisted reduced-order modeling of climate dynamics.
T Sapsis, ZY Wan, B Dodov, H Dijkstra, C Lessig
Geophysical Research Abstracts 21, 2019
22019
Machine learning the kinematics of bubbles in fluid flows
ZY Wan, TP Sapsis
Submitted, 2018
12018
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
Y Schiff, ZY Wan, JB Parker, S Hoyer, V Kuleshov, F Sha, ...
arXiv preprint arXiv:2402.04467, 2024
2024
Reduced-space Gaussian process regression forecast for nonlinear dynamical systems
ZY Wan
Massachusetts Institute of Technology, 2016
2016
Long-term durability of adhesively bonded composite joints under quasi-static and fatigue loading
C Li, ZY Wan, G LaPlante, CD Rans, G Li
34th conference and the 28th symposium of the ICAF, Helsinki, Finland, 819-829, 2015
2015
Fatigue disbond growth for an adhesively bonded composite joint under mixed mode I/II loading
C Li, T Teng, ZY Wan, NG Young, G Li, CD Rans, G LaPlante
SAMPE 2014, 1-15, 2014
2014
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