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Article . 2023
License: CC BY
Data sources: Datacite
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Article . 2023
License: CC BY
Data sources: ZENODO
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Transformation towards digital synthesis of single-atom catalysts by leveraging language models and protocol standardization

Authors: Manu Suvarna; Alain Claude Vaucher; Sharon Mitchell; Teodoro Laino; Javier Pérez-Ramírez;

Transformation towards digital synthesis of single-atom catalysts by leveraging language models and protocol standardization

Abstract

The repository contains excel files with data on the 127 paragraphs used for model training and a separate set of 145 paragraphs which were used for statistically analyze the synthetic routes in SAC literature. The DOIs for the respective papers are included in the excel sheets. The data on annotations performed on docanno platform are presented as JSON file.

Keywords

Heterogeneous catalysis, Synthesis protocols, Data standardization, Natural language processing, Deep learning

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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