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AI extracts XAS data from battery literature for materials discovery · 3 sources tracked

By PulseAugur Editorial · [3 sources] ·

Researchers have developed a multimodal literature mining approach to extract and digitize X-ray absorption spectroscopy (XAS) data from scientific papers. This method transforms embedded spectral data and fragmented textual context into an AI-ready format. The resulting open dataset contains 13,740 XAS spectra from battery literature, covering diverse battery chemistries and elements, which can facilitate large-scale analysis and accelerate materials discovery. AI

IMPACT Enables large-scale analysis of spectroscopy data, potentially accelerating materials science research and discovery.

RANK_REASON The cluster describes a research paper detailing a new method for data extraction and the creation of a dataset.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

AI extracts XAS data from battery literature for materials discovery · 3 sources tracked

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The cluster describes a research paper detailing a new method for data extraction and the creation of a dataset.
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3 independent sources
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47 days old
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COVERAGE [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 ·

    Harnessing X-ray Absorption Spectroscopy Data through Multimodal Mining of Battery Literature

    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 ·

    Harnessing X-ray Absorption Spectroscopy Data through Multimodal Mining of Battery Literature

    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 ·

    Harnessing X-ray Absorption Spectroscopy Data through Multimodal Mining of Battery Literature

    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 …

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