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Cited by 438

The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.

Multi‐Photon Excitation in Photoredox Catalysis: Concepts, Applications, Methods

Open access
Glaser, Felix, Kerzig, Christoph, Wenger, Oliver S.·2020·Angewandte Chemie International Edition

Abstract

The energy of visible photons and the accessible redox potentials of common photocatalysts set thermodynamic limits to photochemical reactions that can be driven by traditional visible‐light irradiation. UV excitation can be damaging and induce side reactions, hence visible or even near‐IR light is usually preferable. Thus, photochemistry currently faces two divergent challenges, namely the desire to perform ever more thermodynamically demanding reactions with increasingly lower photon energies. The pooling of two low‐energy photons can address both challenges simultaneously, and whilst multi‐photon spectroscopy is well established, synthetic photoredox chemistry has only recently started to exploit multi‐photon processes on the preparative scale. Herein, we have a critical look at currently developed reactions and mechanistic concepts, discuss pertinent experimental methods, and provide an outlook into possible future developments of this rapidly emerging area.

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Crossref · 10.1002/anie.201915762

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Metadata

Authors
Glaser, F., Kerzig, C., & Wenger, O. S.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2020-04-07
Volume
59
Issue
26
Pages
10266-10284
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2999341611
Cited by
438
References
76
FWCI
21.21
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Multi‐Photon Excitation in Photoredox Catalysis: Concepts, Applications, Methods. https://app.cochat.ai/papers/10.1002/anie.201915762
The paper
Glaser, F., Kerzig, C., & Wenger, O. S. (2020). Multi‐Photon Excitation in Photoredox Catalysis: Concepts, Applications, Methods. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201915762

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.