Prediction of new Ti-N phases using machine learned interatomic potential

· · 来源:answer资讯

The entire pipeline executes in a single call stack. No promises are created, no microtask queue scheduling occurs, and no GC pressure from short-lived async machinery. For CPU-bound workloads like parsing, compression, or transformation of in-memory data, this can be significantly faster than the equivalent Web streams code — which would force async boundaries even when every component is synchronous.

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