arXiv Machine Learning June 2, 2026 By Anand Babu, Rog\'erio Almeida Gouv\^ea, Gian-Marco Rignanese

Towards Automated Discovery: A Review of Generative Models, Multimodal Learning and Closed-Loop Workflows in Inverse Materials Design

Read the original on arXiv Machine Learning →

arXiv:2606. 02507v1 Announce Type: cross Abstract: Inverse materials design is shifting materials discovery from forward prediction to targeted proposal of candidates that satisfy objectives under physical constraints.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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