Mathematical Models Predict Performance of Advanced Porous Materials in New Study
A computational study demonstrates how mathematical descriptors can predict the performance of porous materials used in gas storage and drug delivery. The research validates topological indices through quantitative structure-property relationship modeling of chemical compounds.
Mathematical Framework Analysis Reveals Material Property Predictors
Researchers have developed computational methods to analyze and predict the properties of advanced porous materials using mathematical descriptors, according to a recent study published in Scientific Reports. The research focuses on metal-organic frameworks (MOFs) and covalent organic frameworks (COFs), two classes of materials with significant potential for applications ranging from gas storage to drug delivery due to their high surface areas and tunable structures.