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arXiv Machine Learning By Paul Hagemann, Katharina Ueltzen, Simon M\"uller, Janine George, Philipp Benner

Representations from Pretrained Machine-Learning Interatomic Potentials as Coarse Coordinates for Material Generation and Evaluation

Read the original on arXiv Machine Learning →

arXiv:2607. 28776v1 Announce Type: new Abstract: Generative machine learning is increasingly used for inorganic crystal structure generation.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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