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Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation

Joined work with Yuxuan Liu, Professor Zecheng Zhang, and Professor Hayden Schaeffer


We propose PROSE-PDE algorithm, a extension of PROSE, training the map from multimodal inputs to multimodal outputs.

We provide several extrapolation studies to highlight the ability of PROSE-PDE in generalizing physical features through the robust training to unseen operators.
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