Synthesis of covalent organic frameworks using sustainable solvents and machine learning
Sushil Kumar, Gergő Ignácz, György Székely
Abstract
Covalent organic frameworks have been prepared in sustainable solvents by a solvothermal method, and their porosity and crystallinity were predicted using QSPR and machine learning approaches.
Topics & Concepts
CrystallinityCovalent bondPorosityQuantitative structure–activity relationshipChemistryOrganic chemistryStereochemistryCrystallographyCovalent Organic Framework ApplicationsMetal-Organic Frameworks: Synthesis and ApplicationsAdvanced Photocatalysis Techniques