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Charge-Promoted Adaptive Aromaticity in Metallabenzenes: A Combined DFT and Machine Learning Study

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Year: 2026
Type: article
Source: Organometallics
DOI: 10.1021/acs.organomet.5c00348
Authors: Songshan Dai, Wenhao Wang, Jun Zhu
Institutions: Xiamen University, Chinese University of Hong Kong, Shenzhen
Language: English

Topic: Synthesis and Properties of Aromatic Compounds
Subfield: Organic Chemistry
Field: Chemistry
Domain: Physical Sciences

Open Access status: closed

Funders: Chinese University of Hong Kong, Shenzhen, Science and Technology Foundation of Shenzhen City, National Natural Science Foundation of China
Awards: G3658462806, 非金属化合物活化氮气的理论研究, G6001632230, G625227565, G8427997128
OpenAlex ID: W7124991834
FWCI: 5.488
Cites: 51
Cited by: 3
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