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Accurately predicting how complex real-world physical systems evolve over time is difficult and computationally expensive with traditional simulation methods.

A foundation AI model that learns to simulate and generate future states of physical systems from initial conditions.

Researchers, engineers, and enterprises that need fast, accurate physics-based simulations for design, analysis, or forecasting.