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FR-Mamba: Time-Series Physical Field Reconstruction Based on State Space Model

  • FR-Mamba is a novel spatiotemporal flow field reconstruction framework based on state space modeling.
  • It combines Fourier Neural Operator (FNO) and State Space Model (SSM) to capture global spatial features and long-range temporal dependencies.
  • The proposed approach outperforms existing methods in flow field reconstruction tasks, achieving high-accuracy performance on long sequences.
  • The use of Mamba and FNO enables efficient modeling of long-range temporal dependencies and non-local spatial features, respectively.

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