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FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model
Based on the backbone of large language models, we adapt the in-context learning scheme to learn a universal error correction method for dynamical systems from given prompted sequences of coarse solutions.
A Finite Expression Method for Solving High-Dimensional Committor Problems
Central to TPT is the committor function, which describes the probability to hit the metastable state $B$ prior to $A$ from any given starting point of the phase space.
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