Advancing metal organic framework and covalent organic framework design <i>via</i> the digital-intelligent paradigm
Bing Ma, Na Qin, Qianqian Yan, Wei Zhou, Sheng Zhang, Xiao Wang, Lipiao Bao, Xing Lu
Abstract
AI and machine learning combined with multiscale simulations accelerate framework materials design. This review summarizes AI-assisted strategies for synthesis prediction, condition optimization, and inverse functional design.
Topics & Concepts
Metal-organic frameworkNanotechnologyComputer scienceConceptual frameworkContext (archaeology)Materials scienceKey (lock)Covalent organic frameworkSystems engineeringChemistryFunction (biology)Work (physics)EngineeringBiochemical engineeringInverseCovalent Organic Framework ApplicationsMetal-Organic Frameworks: Synthesis and ApplicationsAdvanced Photocatalysis Techniques