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Preprint Aug 2026

Unsupervised Adaptation of PDE Foundation Models

Pretrained partial differential equation (PDE) foundation models can generalize across different equations, but adapting them to unseen PDE systems typically requires dense solution data, which is often expensive or unavailable. To address this limitation, we propose an unsupervised PDE-based finetuning framework that...

Ziye Song, Zhao Wei, Xin Yu et al. · 0 citations

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