Sample-efficient active learning for materials informatics using integrated posterior variance

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GC thrashing in SSR: Batched chunks (Uint8Array[]) amortize async overhead. Sync pipelines via Stream.pullSync() eliminate promise allocation entirely for CPU-bound workloads.。im钱包官方下载对此有专业解读

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