Inside Back Cover: In Situ Tandem Synthesis of Charged Boron‐Oxo Clusters into Highly Ordered Architectures (Angew. Chem. Int. Ed. 48/2025)

The synergistic combination of dynamic covalent bonding, coordination-driven assembly, and electrostatic interactions in an in situ tandem process enables the controlled organization of disordered ionic and molecular species into highly ordered architectures, allowing systematic modulation of third-order nonlinear optical (NLO) properties. This work establishes a robust synthetic approach for the rational design of boron-oxo clusters and their assembly into well-defined architectures. Details are described in the Research Article (e202519221) by Jian Zhang et al.

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Publication Details

Journal
Angewandte Chemie International Edition
Published
2025-10-26
DOI
https://doi.org/10.1002/anie.202522636
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
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Inside Back Cover: In Situ Tandem Synthesis of Charged Boron‐Oxo Clusters into Highly Ordered Architectures (Angew. Chem. Int. Ed. 48/2025)

Panpan Zhao, Hai‐Xia Zhang, Si‐Hao Shen, Jianbing Chen et al.
Angewandte Chemie International Edition
Machine Learning in Materials Science
article

Inside Back Cover: In Situ Tandem Synthesis of Charged Boron‐Oxo Clusters into Highly Ordered Architectures (Angew. Chem. Int. Ed. 48/2025)

Panpan Zhao, Hai‐Xia Zhang, Si‐Hao Shen, Jianbing Chen, Jian Zhang, Fei Zou, Yinghua Yu
article en

Abstract

The synergistic combination of dynamic covalent bonding, coordination-driven assembly, and electrostatic interactions in an in situ tandem process enables the controlled organization of disordered ionic and molecular species into highly ordered architectures, allowing systematic modulation of third-order nonlinear optical (NLO) properties. This work establishes a robust synthetic approach for the rational design of boron-oxo clusters and their assembly into well-defined architectures. Details are described in the Research Article (e202519221) by Jian Zhang et al.

Angewandte Chemie International EditionVol. 64(48)
Chinese Academy of Sciences (CN), Fujian Institute of Research on the Structure of Matter (CN)
Openalex Percentile: Top 76%
Machine Learning in Materials Science
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