Han Zongsu, Yang Yihao, Rushlow Joshua, Huo Jiatong, Liu Zhaoyi, Hsu Yu-Chuan, Yin Rujie, Wang Mengmeng, Liang Rongran, Wang Kun-Yu, Zhou Hong-Cai
Department of Chemistry, Texas A&M University, College Station, Texas 77843, USA.
Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843, USA.
Chem Soc Rev. 2025 Jan 2;54(1):367-395. doi: 10.1039/d4cs00432a.
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.
由于金属有机框架材料(MOFs)具有特殊的多孔性质,近年来人们对其兴趣激增,大量关于其设计、合成、性质及应用的研究便是明证。这一不断拓展的研究领域推动了MOF设计与合成精确调控方面的重大进展。该领域最初以大规模合成方法为主导,现已朝着更具针对性的功能修饰方向发展。最近,计算科学的融入,尤其是通过人工智能预测,开创了一个创新的新时代,使得MOF设计与合成方法更加精确和高效。本综述的目的是为读者提供MOF设计与合成发展过程的广泛概述,并展望未来的发展方向。