Toward smart CO <sub>2</sub> capture by the synthesis of metal organic frameworks using large language models

This research focuses on collecting experimental CO 2 adsorption data from 433 scientific papers to address the challenges of MOF synthesis methods and the correlation of MOF structure and the effect of their structure on CO 2 adsorption using LLMs.

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Publication Details

Journal
Digital Discovery
Published
2025-12-11
DOI
https://doi.org/10.1039/d5dd00446b
Primary Topic
Metal-Organic Frameworks: Synthesis and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Toward smart CO 2 capture by the synthesis of metal organic frameworks using large language models

Digital Discovery
Metal-Organic Frameworks: Synthesis and Applications
article

Toward smart CO 2 capture by the synthesis of metal organic frameworks using large language models

article en

Abstract

This research focuses on collecting experimental CO 2 adsorption data from 433 scientific papers to address the challenges of MOF synthesis methods and the correlation of MOF structure and the effect of their structure on CO 2 adsorption using LLMs.

Digital DiscoveryVol. 5(1)
Natural Resources Canada (CA), Memorial University of Newfoundland (CA), University of Waterloo (CA), Khalifa University of Science and Technology (AE)
Openalex Percentile: Top 46%
Metal-Organic Frameworks: Synthesis and Applications
DOIOpen Access PDFOpenAlex
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