Stochasticity and probabilistic trajectory scoring are essential for data-driven closures of chaotic systems

Proceedings of the National Academy of Sciences, Volume 123, Issue 35, September 2026. <br/>SignificanceSimulating complex systems—whether in climate science, biology, or engineering—often requires ignoring components to make computations feasible. But this simplification introduces errors that accumulate over time, causing models to drift away …



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