ENTITY
Xuyang Liu
Xuyang Liu
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Neptune method estimates complex PDE parameters from sparse data
Researchers have introduced Neptune, a novel method designed to infer parameter fields in complex multi-physics partial differential equations (PDEs) using scarce measurements. This approach utilizes independent coordin…
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New Weak Penalty NODE method improves chaotic system modeling from noisy data
Researchers have developed a new method called Weak Penalty NODE to improve the accuracy of Neural Ordinary Differential Equations (Neural ODEs) when modeling chaotic dynamical systems from noisy time series data. This …