Comprehensive overview of machine learning applications in MOFs: from modeling processes to latest applications and design classifications
Yutong Liu, Yawen Dong, Hua Wu
Abstract
This review provides an overview of machine learning (ML) workflows in MOFs. It discusses three rational design methods, focusing on future challenges and opportunities to enhance understanding and guide ML-based MOF research.
Topics & Concepts
Computer scienceSystems engineeringArtificial intelligenceBiochemical engineeringNanotechnologyEngineeringMaterials scienceMetal-Organic Frameworks: Synthesis and ApplicationsMachine Learning in Materials ScienceGas Sensing Nanomaterials and Sensors