Development of the design and synthesis of metal–organic frameworks (MOFs) – from large scale attempts, functional oriented modifications, to artificial intelligence (AI) predictions

Abstract

Owing to the exceptional porous properties of metal–organic frameworks (MOFs), there has recently been a surge of interest, evidenced by a plethora of research into their design, synthesis, properties, and applications. This expanding research landscape has driven significant advancements in the precise regulation of MOF design and synthesis. Initially dominated by large-scale synthesis approaches, this field has evolved towards more targeted functional modifications. Recently, the integration of computational science, particularly through artificial intelligence predictions, has ushered in a new era of innovation, enabling more precise and efficient MOF design and synthesis methodologies. The objective of this review is to provide readers with an extensive overview of the development process of MOF design and synthesis, and to present visions for future developments.

Graphical abstract: Development of the design and synthesis of metal–organic frameworks (MOFs) – from large scale attempts, functional oriented modifications, to artificial intelligence (AI) predictions

Article information

Article type
Review Article
Submitted
31 Aug 2024
First published
25 Nov 2024
This article is Open Access
Creative Commons BY-NC license

Chem. Soc. Rev., 2025, Advance Article

Development of the design and synthesis of metal–organic frameworks (MOFs) – from large scale attempts, functional oriented modifications, to artificial intelligence (AI) predictions

Z. Han, Y. Yang, J. Rushlow, J. Huo, Z. Liu, Y. Hsu, R. Yin, M. Wang, R. Liang, K. Wang and H. Zhou, Chem. Soc. Rev., 2025, Advance Article , DOI: 10.1039/D4CS00432A

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