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20132026
most citedData-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks

355 citations · 1.5k across the 64 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

physics.data-an2016★ 52 cited

Reduced-space Gaussian Process Regression for Data-Driven Probabilistic Forecast of Chaotic Dynamical Systems

Zhong Yi Wan, Themistoklis P. Sapsis

We formulate a reduced-order strategy for efficiently forecasting complex high-dimensional dynamical systems entirely based on data streams. The first step of our method involves r…

physics.ao-ph2016★ 49 cited

Reduced-order prediction of rogue waves in two-dimensional deep-water waves

Mohammad Farazmand, Themistoklis P. Sapsis

We consider the problem of large wave prediction in two-dimensional water waves. Such waves form due to the synergistic effect of dispersive mixing of smaller wave groups and the a…

nlin.CD2016

Heavy-tailed response of structural systems subjected to stochastic excitation containing extreme forcing events

Han Kyul Joo, Mustafa A. Mohamad, Themistoklis P. Sapsis

We characterize the complex, heavy-tailed probability distribution functions (pdf) describing the response and its local extrema for structural systems subjected to random forcing…

nlin.SI2016★ 24 cited

Energy exchange and localization in essentially nonlinear oscillatory systems: canonical formalism

O. V. Gendelman, T. P. Sapsis

Over recent years, a lot of progress has been achieved in understanding of the relationship between localization and transport of energy in essentially nonlinear oscillatory system…

math.DS2016★ 59 cited

Dynamical indicators for the prediction of bursting phenomena in high-dimensional systems

Mohammad Farazmand, Themistoklis Sapsis

Drawing upon the bursting mechanism in slow-fast systems, we propose indicators for the prediction of such rare extreme events which do not require a priori known slow and fast coo…