Can large language models predict the hydrophobicity of metal–organic frameworks?

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Publication Details

Journal
Journal of Materials Chemistry A
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ta01139f
Citations
5
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
2.59

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article

Can large language models predict the hydrophobicity of metal–organic frameworks?

Jianwen Jiang, Xiaoyu Wu
5 citations
Journal of Materials Chemistry A
Machine Learning in Materials Science
2.59
article

Can large language models predict the hydrophobicity of metal–organic frameworks?

Jianwen Jiang, Xiaoyu Wu
article en
5 citations

Abstract

No abstract available for this paper.
Journal of Materials Chemistry AVol. 13(25)
National University of Singapore (SG)
National Research Foundation, National University of Singapore, National Research Foundation Singapore, National Supercomputing Centre Singapore
Openalex Percentile: Top 11%
Machine Learning in Materials Science
2.59
DOIOpen Access PDFOpenAlex
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Can large language models predict the hydrophobicity of metal–organic frameworks? — Jianwen Jiang, Xiaoyu Wu · Journal of Materials Chemistry A (2025) | TGRS Research Map | TGRS