A “sacrificial reagent” strategy for tailoring adaptive aromaticity in pyrrole rings with its application to singlet fission: a combined DFT and unsupervised machine learning study

A “sacrificial reagent” strategy is demonstrated to tailor adaptive aromaticity in pyrrole rings with its application to singlet fission via a combined DFT and machine learning study.

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Publication Details

Journal
Organic Chemistry Frontiers
Published
2025-11-03
DOI
https://doi.org/10.1039/d5qo01255d
Citations
2
Primary Topic
Synthesis and Properties of Aromatic Compounds
Type
article
Field-Weighted Citation Impact
1.87
Controls
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article

A “sacrificial reagent” strategy for tailoring adaptive aromaticity in pyrrole rings with its application to singlet fission: a combined DFT and unsupervised machine learning study

2 citations
Organic Chemistry Frontiers
Synthesis and Properties of Aromatic Compounds
1.87
article

A “sacrificial reagent” strategy for tailoring adaptive aromaticity in pyrrole rings with its application to singlet fission: a combined DFT and unsupervised machine learning study

article en
2 citations

Abstract

A “sacrificial reagent” strategy is demonstrated to tailor adaptive aromaticity in pyrrole rings with its application to singlet fission via a combined DFT and machine learning study.

Organic Chemistry FrontiersVol. 13(2)
Chinese University of Hong Kong, Shenzhen (CN)
Openalex Percentile: Top 13%
Synthesis and Properties of Aromatic Compounds
1.87
DOISourceOpenAlex
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A “sacrificial reagent” strategy for tailoring adaptive aromaticity in pyrrole rings with its application to singlet fission: a combined DFT and unsupervised machine learning study · Organic Chemistry Frontiers (2025) | TGRS Research Map | TGRS