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

· · 来源:user资讯

This step rapidly finds the optimal sequence of border points and shortcuts to get from your start cluster's periphery to your target cluster's periphery. It's incredibly fast because it's ignoring all the tiny roads within intermediate clusters.

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