Preprint
Aug 2026
A Label-Free Physics-to-Data Acceleration Framework for Parametric Time-Dependent PDEs with Latent-Space Differential-Operator Learning
PHD-SF establishes a separated-solving, hyper-reduction-like enrichment, and direct-inference acceleration path, reducing the dependence on large-scale high-fidelity data generation and its offline cost.
Hongjiang Wang, Wei-zhe Wang, Yingzheng Liu
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