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Multiple Physics Pretraining for Physical Surrogate Models

Paper title Multiple Physics Pretraining for Physical Surrogate Models

McCabe et al. (Polymathic AI) · General PDEs · Public: code, weights

Paper arXiv 2310.02994PDF

Trains one transformer to predict the next step of several different physical systems at once. Each system's fields are normalised per sample and projected into a shared embedding, so the model infers the physics from the history it is given and can then be fine-tuned on a new system.

Published
NeurIPS

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