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Datasets for CLIP: Physics-guided curriculum learning for the identification of reaction–diffusion dynamics from partial observations

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Zenodo2026-01-23 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.18345087
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This dataset contains the full numerical simulation data used in the CLIP framework (Curriculum Learning Identification via PINNs) for parameter identification in partially observed reaction–diffusion systems. Included benchmark systems:- λ–ω reaction–diffusion system- Gray–Scott model- Lotka–Volterra predator–prey system- MinDE protein oscillation model Each dataset is stored in NumPy `.npz` format and corresponds to one benchmark case. This dataset supports the experiments reported in the accompanying manuscript.
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Zenodo
创建时间:
2026-01-23
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