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人工智能应用于MOF材料的研究进展

陈旭阳 周嘉浩 谭晓红 李桂银

广东石油化工学院学报2025,Vol.35Issue(3):36-42,47,8.
广东石油化工学院学报2025,Vol.35Issue(3):36-42,47,8.

人工智能应用于MOF材料的研究进展

Review on Artificial Intelligence Applied to MOF Materials

陈旭阳 1周嘉浩 1谭晓红 1李桂银1

作者信息

  • 1. 广东石油化工学院 化学学院,广东 茂名 525000
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摘要

Abstract

Metal-organic frameworks(MOFs)materials have shown great potential in many applications such as gas storage,catalysis,and sensing.However,traditional experimental and computational simulation methods are limited by time-consuming,labor-intensive,and insufficient computing resources in the process of selecting and designing MOFs.The emergence of artificial intelligence(AI)technology can quickly screen and predict the structure and performance of MOFs,accelerate the material development process,save time and cost,improve the efficiency and success rate of MOFs material development,and provide new ideas for designing the MOFs material with outstanding structure and performance.The purpose of this paper is to explore the role of AI technology in the research process of MOFs through extensive literature analysis and provide scientific decision-making support for researchers.

关键词

人工智能/金属有机框架材料/材料设计/应用前景

Key words

artificial intelligence/metal-organic frameworks material/material design/application prospects

分类

通用工业技术

引用本文复制引用

陈旭阳,周嘉浩,谭晓红,李桂银..人工智能应用于MOF材料的研究进展[J].广东石油化工学院学报,2025,35(3):36-42,47,8.

基金项目

广东省普通高校重点领域专项(2023ZDZX2040) (2023ZDZX2040)

大学生创新创业训练计划项目(71013407217) (71013407217)

广东石油化工学院高层次人才引进项目(RC-XJ2022000401) (RC-XJ2022000401)

广东石油化工学院学报

2095-2562

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