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Data-driven copper catalysis enables stereoselective fluorocyclopropanation

delete2026-02-25
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PRE
AI
C
Chongyuan Yan
J
Jiewen Liu
L
Lin Tan
Y
Yating Chen
H
Huw M. L. Davies
Z
Zhunzhun Yu *
廖矿标 (Kuangbiao Liao) *
DOI:10.1016/j.chempr.2025.102922delete
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Abstract

Abstract

En 中文
• Data-driven Cu catalysis achieves up to 99% ee and 75:1 dr in fluorocyclopropanation • Mechanistic carbene descriptors improve model generalization and prediction • Protocol scales from nanomole screens to gram-scale bioactive targets
Keywords:
fluorocyclopropanation
copper catalysis
stereoselective synthesis
data-driven methodology
carbene descriptors

Journal

Chem cover
Chem
IF:
19.6
Papers:
2.8K
Citations:
3.0W

Organization

G
Guangzhou National Laboratory
Scholars:
237
Papers: 79
Citations: 0
E
emory university
Scholars:
4.5K
Papers: 1.7K
Citations: 0