A Bayesian method reconstructs deterministic phase equations for traveling breathers in coupled Gray-Scott reaction-diffusion systems from time-series data in the weak-noise regime.
The system has a size of 2 L = 250, which is sufficiently large compared to that of the breather
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Data-driven reconstruction of spatiotemporal phase dynamics for traveling and oscillating patterns via Bayesian inference
A Bayesian method reconstructs deterministic phase equations for traveling breathers in coupled Gray-Scott reaction-diffusion systems from time-series data in the weak-noise regime.