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arXiv Machine Learning By Chengchun Liu, Zhiyuan Yan, Li Yuan, Hao Li, Boxuan Zhao, Yonghong Tian, Bartosz A. Grzybowski, Fanyang Mo

Hypothesis-and-Refinement Learning of Organic Structures from Multimodal Spectroscopic Data

Read the original on arXiv Machine Learning →

arXiv:2607. 19816v1 Announce Type: cross Abstract: Determining molecular structures from spectroscopic data remains fundamentally challenging because the inverse problem is intrinsically underdetermined: individual spectra are sparse, low-dimensional, and encode only partial structural evidence relative to the vast space of possible molecules.

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

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