Data-assisted reduced-order modeling of extreme events in complex dynamical systems
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The prediction of extreme events, from avalanches and droughts t...
Main Authors: | Vlachas, Pantelis, Koumoutsakos, Petros, Wan, Zhong Yi, Sapsis, Themistoklis P. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Mechanical Engineering |
Format: | Article |
Published: |
Public Library of Science (PLoS)
2019
|
Online Access: | http://hdl.handle.net/1721.1/120303 https://orcid.org/0000-0001-7264-3628 https://orcid.org/0000-0003-0302-0691 |
Similar Items
-
Data-assisted reduced-order modeling of extreme events in complex dynamical systems.
by: Zhong Yi Wan, et al.
Published: (2018-01-01) -
Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks
by: Vlachas, Pantelis R., et al.
Published: (2019) -
Machine Learning Predictors of Extreme Events Occurring in Complex Dynamical Systems
by: Stephen Guth, et al.
Published: (2019-09-01) -
Machine Learning Predictors of Extreme Events Occurring in Complex Dynamical Systems
by: Guth, Stephen Carrol, et al.
Published: (2020) -
Bubbles in turbulent flows: Data-driven, kinematic models with history terms
by: Wan, Zhong Yi, et al.
Published: (2020)