Suppr超能文献

金属有机框架(MOFs)的设计与合成进展——从大规模尝试、功能导向修饰到人工智能(AI)预测。

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

作者信息

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

机构信息

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.

出版信息

Chem Soc Rev. 2025 Jan 2;54(1):367-395. doi: 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.

摘要

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。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验