arXiv Machine Learning August 10, 2026 By Kaixiang Su, Hongfei Xue, Qiang Zhu

CrystalGRPO: Target-Aligned and Coverage-Preserving Reinforcement Learning for Flow-Based Crystal Structure Prediction

Read the original on arXiv Machine Learning →

arXiv:2608. 06582v1 Announce Type: new Abstract: Flow-based generative models can efficiently produce candidate structures for crystal structure prediction (CSP), but their pretrained objectives do not directly optimize downstream target recovery.

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

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