2026-10-14T12:58:16Z https://www.scidb.cn/oai

10.57760/sciencedb.012m1 2026-09-18T11:31:17Z

2026-09-18 Supplementary data for TheFlowPG-DL doi:10.57760/sciencedb.012m1 en This repository provides a reference data for TheFlowPG-DL, a physics-guided deep-learning framework that predicts the reversal dynamics of the large-scale circulation (LSC) in two-dimensional Rayleigh–Bénard convection. This repository accompanies the research paper Decoding multistate turbulence: physics-guided learning of spatiotemporal dynamics in turbulent convection by Wu Jiaxin, Xie Yichao and Zhang Mengqi.Data and codes are released for educational and academic research purposes only, and are not intended for commercial use. Codes are written for clarity and for supporting the results of the paper, it has not been optimized for large-scale computation. Deep learning; Rayleigh–Bénard convection; Fluid Mechanics Wu Jiaxin Xie Yi-Chao Zhang Mengqi PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank