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English(EN) Inverse-IMPRESSION: A Graph-based Platform for Molecular Structure Elucidation from Experimental NMR Spectroscopic Properties

基于图的AI平台Inverse-IMPRESSION从核磁共振数据中阐明分子结构

研究人员开发了一个名为Inverse-IMPRESSION的新平台,该平台基于一个名为IMPRESSION-G2的反向图变换器网络构建,旨在从实验核磁共振波谱数据中阐明分子结构。该平台分三个阶段进行:预测键连接性、校正预测结构以及生成候选结构集合以供最终选择。该系统在识别分子结构方面取得了成功,使用模拟核磁共振数据正确确定了多达30个重原子的77.8%分子的结构,使用实验数据正确确定了53%分子的结构。 AI

排序理由 该条目描述了一个使用基于图的机器学习进行分子结构阐明的新平台和方法论,发表在一篇研究论文中。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

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基于图的AI平台Inverse-IMPRESSION从核磁共振数据中阐明分子结构

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该条目描述了一个使用基于图的机器学习进行分子结构阐明的新平台和方法论,发表在一篇研究论文中。[lever_c_demoted from research: ic=1 ai=1.0]
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  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Inverse-IMPRESSION:一个基于图的平台,用于从实验性核磁共振波谱性质中阐明分子结构

    Here, we present a platform built on our inverted Graph Transformer Network, IMPRESSION-G2, which can accurately and rapidly reconstruct molecular bonding directly from experimental nuclear magnetic resonance (NMR) spectroscopic information. It comprises three interconnected stag…