Surface-informed active learning prediction of thermophysical properties for liquid refractory multicomponent alloy

· · 来源:study资讯

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The gains illustrate how fundamental design choices compound: batching amortizes async overhead, pull semantics eliminate intermediate buffering, and the freedom for implementations to use synchronous fast paths when data is available immediately all contribute.

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BYOB ends up being complex for both users and implementers, yet sees little adoption in practice. Most developers stick with default reads and accept the allocation overhead.