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English(EN) NMIRacle: Multi-modal Generative Molecular Elucidation from IR and NMR Spectra

AI模型NMIRacle破译光谱中的分子结构

研究人员开发了NMIRacle,一个新颖的AI框架,旨在从光谱数据中阐释分子结构。这个两阶段生成模型首先从片段表示重建分子,然后使用来自IR、1H-NMR和13C-NMR的光谱嵌入直接生成分子结构。NMIRacle在性能上优于现有方法,即使在分子复杂度增加的情况下也能准确预测分子。 AI

影响 该模型可以通过自动化复杂的分子分析来加速药物发现和材料科学。

排序理由 详细介绍用于分子结构阐释的新AI模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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AI模型NMIRacle破译光谱中的分子结构

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详细介绍用于分子结构阐释的新AI模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Federico Ottomano, Yingzhen Li, Alex M. Ganose ·

    NMIRacle:基于红外和核磁共振光谱的多模态生成分子阐释

    arXiv:2512.19733v3 Announce Type: replace-cross Abstract: Molecular structure elucidation from spectroscopic data is a long-standing challenge in Chemistry, traditionally requiring expert interpretation. We introduce NMIRacle, a two-stage generative framework that builds upon rec…