arXiv Machine Learning July 15, 2026 By Yuxuan Ren, Fan Yang, Jianhua Yao, Yatao Bian

SinAE: A Single-Architecture Flow-Matching Autoencoder for Cross-Domain Atomic Systems

Read the original on arXiv Machine Learning →

arXiv:2607. 12380v1 Announce Type: new Abstract: Small molecules, crystals, and proteins all reduce to atoms in 3D space, yet their generative pipelines remain fragmented across domains, each with its Small molecules, crystals, and proteins all reduce to atoms in 3D space, yet their generative pipelines remain fragmented across domains, each with its own graph, equivariant, or frame-based architecture.

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

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