Tootfinder

Towards a Physics Foundation Model
Florian Wiesner, Matthias Wessling, Stephen Baek
https://arxiv.org/abs/2509.13805 https://arxiv.org/pdf/2509.13805

Towards a Physics Foundation Model
Foundation models have revolutionized natural language processing through a ``train once, deploy anywhere'' paradigm, where a single pre-trained model adapts to countless downstream tasks without retraining. Access to a Physics Foundation Model (PFM) would be transformative -- democratizing access to high-fidelity simulations, accelerating scientific discovery, and eliminating the need for specialized solver development. Yet current physics-aware machine learning approaches remain fundamentally…