JOURNAL ARTICLE

Multivariate Metal–Organic Frameworks for Programming Functions

Wentao JiangCongcong LiangYue‐Biao Zhang

Year: 2024 Journal:   Advanced Functional Materials Vol: 34 (43)   Publisher: Wiley

Abstract

Abstract Multivariate metal–organic frameworks (MTV‐MOFs) provide a handle over programming MOF's physicochemical properties for use in functional applications. In this review, the state‐of‐art design features of MTV‐MOFs are summarized, including multivariate functionalities, mixed metals, and post‐synthetic modification, and highlight their resulting fine‐tuned performance in practical applications, such as gas storage, gas separation, water harvesting, luminescence sensing, heterogeneous catalysis, and drug delivery. Furthermore, a vision is provided for future research avenues, in which MTV‐MOFs enable the incorporation of a variety of functionalities, metals, linkers, secondary building units (SBUs), and pore metrics along a specific crystallographic direction with respect to the ordered backbone. Future directions focus on mechanistic and kinetics investigations into the formation of MTV‐MOFs in addition to high‐throughput screening with the aim of automation and artificial intelligence.

Keywords:
SBus Metal-organic framework Materials science Multivariate statistics Nanotechnology Throughput Drug delivery Computer science Adsorption Organic chemistry Machine learning Chemistry

Metrics

46
Cited By
17.87
FWCI (Field Weighted Citation Impact)
94
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Metal-Organic Frameworks: Synthesis and Applications
Physical Sciences →  Chemistry →  Inorganic Chemistry
Covalent Organic Framework Applications
Physical Sciences →  Materials Science →  Materials Chemistry
Advanced Nanomaterials in Catalysis
Physical Sciences →  Materials Science →  Materials Chemistry

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