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

“Development of the design and synthesis of metal–organic frameworks (MOFs) – from large scale attempts, functional oriented modifications, to artificial intelligence (AI) predictions” (2024), by Zongsu Han et al. Chemistry research paper. Original abstract below, unchanged. No free PDF was found.

- Authors: Zongsu Han, Yihao Yang, Joshua Rushlow, Jiatong Huo, Zhaoyi Liu, Yu‐Chuan Hsu, Rujie Yin, Mengmeng Wang, Rong‐Ran Liang, Kunyu Wang et al.
- Published: November 25, 2024
- Field: Chemistry
- DOI: https://doi.org/10.1039/d4cs00432a
- Source: https://doi.org/10.1039/d4cs00432a

## 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.

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