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

· · 来源:dev资讯

tempted to start the slice out at a larger size, to avoid all of these

The algorithm also visits children in order of distance to the query point. This means it checks the most promising quadrants first, which tends to find a good candidate early and enables aggressive pruning of the remaining quadrants. Without this ordering, the algorithm would still produce the correct result, but it would prune fewer nodes.

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