Learning periodic shear flow dynamics via physically aligned generative flow model
The modeling of complex spatiotemporal dynamics has been extensively investigated across diverse physical systems due to its critical role in understanding and predicting time-dependent physical behavior. While several previous studies have shown promising results in addressing the inherent limitations of transient mod...