12 citations · 14 across the 5 of their papers we have counts for
5 papers
Deficiency of equation-finding approach to data-driven modeling of dynamical systems
Zheng-Meng Zhai, Valerio Lucarini, Ying-Cheng Lai
Finding the governing equations from data by sparse optimization has become a popular approach to deterministic modeling of dynamical systems. Considering the physical situations w…
Spatio-temporal Dynamical Indices for Complex Systems
Chenyu Dong, Gabriele Messori, Davide Faranda +3
Complex systems span multiple spatial and temporal scales, making their dynamics challenging to understand and predict. This challenge is especially daunting when one wants to stud…
Time-Lagged Recurrence: a data-driven method to estimate the predictability of dynamical systems
Chenyu Dong, Davide Faranda, Adriano Gualandi +2
Nonlinear dynamical systems are ubiquitous in nature and they are hard to forecast. Not only they may be sensitive to small perturbations in their initial conditions, but they are…
Saddle avoidance of noise-induced transitions in multiscale systems
Reyk Börner, Ryan Deeley, Raphael Römer +3
In multistable dynamical systems driven by weak Gaussian noise, transitions between competing states are often assumed to pass via a saddle on the separating basin boundary. By con…
Dimensional analysis identifies contrasting dynamics of past climate states and critical transitions
Tommaso Alberti, Fabio Florindo, Eelco J. Rohling +2
While one can unequivocally identify past climate transitions, we lack comprehensive knowledge about their underlying mechanisms and timescales. Our study employs a dimensional ana…