Harnessing Electro-Descriptors for Mechanistic and Machine Learning Analysis of Photocatalytic Organic Reactions-Reference-Cited by-同舟云学术

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Harnessing Electro-Descriptors for Mechanistic and Machine Learning Analysis of Photocatalytic Organic Reactions

Published:2024-07-04 Issue:28 Volume:146 Page:19019-19029
ISSN:0002-7863
Container-title:Journal of the American Chemical Society
language:en
Short-container-title:J. Am. Chem. Soc.

Author:

Dai Luhan¹,Fu Yulong¹²,Wei Mengran¹²,Wang Fangyuan¹,Tian Bailin¹^ORCID,Wang Guoqiang¹²^ORCID,Li Shuhua¹²^ORCID,Ding Mengning¹^ORCID

Affiliation:

1. Key Laboratory of Mesoscopic Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China

2. Institute of Theoretical and Computational Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China

Funder

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/jacs.4c03085

Reference59 articles.

1. Modular Photocatalytic Synthesis of α-Trialkyl-α-Tertiary Amines

2. Copper-Mediated Radical–Polar Crossover Enables Photocatalytic Oxidative Functionalization of Sterically Bulky Alkenes

3. Photocatalytic phosphine-mediated water activation for radical hydrogenation

4. Photocatalytic hydrofluoroalkylation of alkenes with carboxylic acids

5. A practical fluorosulfonylating platform via photocatalytic imidazolium-based SO2F radical reagent

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