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Author

Kai-Hua Ji

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Open access Aug 2026

Scalable autoregressive deep surrogates for complex microstructure dynamics

A machine-learning framework that employs autoregressive deep surrogates, trained on short trajectories from quantitative phase-field simulations of alloy solidification within limited spatial domains, is introduced, confirming its capability to predict complex microstructural pattern formation.

Kai-Hua Ji, Luning Sun, Shu-Sen Liu et al. · 0 citations

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