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

· · 来源:central资讯

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OsmAnd's F

Instead of tee() with its hidden unbounded buffer, you get explicit multi-consumer primitives. Stream.share() is pull-based: consumers pull from a shared source, and you configure the buffer limits and backpressure policy upfront.