https://www.nature.com/articles/s41598-021-04168-w
“Regarding developing and testing MOF, there are some important challenges and obstacles to overcome or be solved using alternative methods. Firstly, experimental investigation of adsorption capacity of MOFs not only is time consuming, but also is not cost-effective. Secondly, data cannot be matched with the developed isotherms because typically these isotherms are proposed for a specific range of data31. So as to address the problem, many scientists have been trying to use soft computing methods by which not only the time and money could be saved, but also there is no need for simplifying assumptions and the data could be modeled more precisely. Artificial intelligence (AI) approaches are useful tools which enable us to estimate and develop representative models in various disciplines37,38,39,40,41,42. These powerful algorithms are able to model non-linear relationship which exist between influencing parameters. Up to the date, a plethora of models have been developed such as fuzzy logic, radial basis networks, support vector machine, and colony optimization43,44,45,46,47.”