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A mesh-free deep energy method achieves near-perfect accuracy in brittle fracture modeling, outperforming traditional approaches on complex crack patterns.
Physics-informed neural operators can now learn continually without forgetting, thanks to a simple replay strategy that preserves past knowledge while rapidly adapting to new out-of-distribution data.
