Zhong Yi Wan
Cited by
Cited by
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
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
Machine learning the kinematics of spherical particles in fluid flows
ZY Wan, TP Sapsis
Journal of Fluid Mechanics 857, 2018
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
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
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
Data-assisted reduced-order modeling of climate dynamics.
T Sapsis, ZY Wan, B Dodov, H Dijkstra, C Lessig
Geophysical Research Abstracts 21, 2019
Physics-constrained machine learning strategies for turbulent flows and bubble dynamics
ZY Wan
Massachusetts Institute of Technology, 2020
Complementing Imperfect Models with Data for the Prediction of Extreme Events in Turbulent Systems
ZY Wan, T Sapsis
Bulletin of the American Physical Society 63, 2018
Reduced-space Gaussian process regression forecast for nonlinear dynamical systems
ZY Wan
Massachusetts Institute of Technology, 2016
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