355 citations · 584 across the 4 of their papers we have counts for
4 papers
Bubbles in Turbulent Flows: Data-driven, kinematic models with memory terms
Zhong Yi Wan, Petr Karnakov, Petros Koumoutsakos +1
We present data driven kinematic models for the motion of bubbles in high-Re turbulent fluid flows based on recurrent neural networks with long-short term memory enhancements. The…
Data-assisted reduced-order modeling of extreme events in complex dynamical systems
Zhong Yi Wan, Pantelis R. Vlachas, Petros Koumoutsakos +1
Dynamical systems with high intrinsic dimensionality are often characterized by extreme events having the form of rare transitions several standard deviations away from the mean. F…
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks
Pantelis R. Vlachas, Wonmin Byeon, Zhong Y. Wan +2
We introduce a data-driven forecasting method for high-dimensional chaotic systems using long short-term memory (LSTM) recurrent neural networks. The proposed LSTM neural networks…
Extend Special Relativity to the Superluminal Case
Z. C. Tu, Z. Y. Wan
First, we extend the special relativity into the superluminal case and put forward a superluminal theory of kinematics, in which we show that the temporal coordinate need exchangin…