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English(EN) Harnessing X-ray Absorption Spectroscopy Data through Multimodal Mining of Battery Literature

AI 从电池文献中提取 XAS 数据用于材料发现 · 已追踪 3 个来源

研究人员开发了一种多模态文献挖掘方法,用于从科学论文中提取和数字化 X 射线吸收光谱 (XAS) 数据。该方法将嵌入的光谱数据和零散的文本上下文转换为 AI 就绪格式。由此产生的开放数据集包含来自电池文献的 13,740 个 XAS 光谱,涵盖了各种电池化学成分和元素,有助于大规模分析并加速材料发现。 AI

影响 能够对光谱数据进行大规模分析,可能加速材料科学研究和发现。

排序理由 该集群描述了一篇研究论文,其中详细介绍了一种新的数据提取方法和数据集的创建。

在 arXiv cs.IR (Information Retrieval) 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

AI 从电池文献中提取 XAS 数据用于材料发现 · 已追踪 3 个来源

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该集群描述了一篇研究论文,其中详细介绍了一种新的数据提取方法和数据集的创建。
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50 days old
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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Tanjin He, Aikaterini Vriza, Logan Ward, Xu Huang, Yiming Chen, Anubhav Jain, Gerbrand Ceder, Rajeev S. Assary, Ian T. Foster, Maria K. Y. Chan ·

    通过电池文献的多模态挖掘利用X射线吸收光谱数据

    arXiv:2607.23886v1 Announce Type: cross Abstract: X-ray absorption spectroscopy (XAS) is central to understanding the local electronic and atomic structure of materials, yet most published spectra remain inaccessible to data-driven analysis because they are embedded in figures an…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Maria K. Y. Chan ·

    通过电池文献的多模态挖掘利用X射线吸收光谱数据

    X-ray absorption spectroscopy (XAS) is central to understanding the local electronic and atomic structure of materials, yet most published spectra remain inaccessible to data-driven analysis because they are embedded in figures and described through fragmented textual context in …

  3. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Maria K. Y. Chan ·

    通过电池文献的多模态挖掘来利用X射线吸收光谱数据

    X-ray absorption spectroscopy (XAS) is central to understanding the local electronic and atomic structure of materials, yet most published spectra remain inaccessible to data-driven analysis because they are embedded in figures and described through fragmented textual context in …