Machine-learning potential for silver sulfide: From CHGNet pretraining to DFT-refined phase stability

· · 来源:m-shanghai资讯

Not all streaming workloads involve I/O. When your source is in-memory and your transforms are pure functions, async machinery adds overhead without benefit — you're paying for coordination of "waiting" that adds no benefit.

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