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

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Each route has to be registered into a mapping that ultimately resolves to a function that gets executed. Since we had hundreds of APIs that needed to be supported, this meant a significant amount of boilerplate code would need to be written. Luckily, we already had experience using code-gen on Towerborne.

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🛠️ 第三步:初始化与数据迁移

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