CATALYST DISCOVERY THROUGH PATTERN RECOGNITION-BASED MODELING AND DATA ANALYSIS

摘要

The present invention is a method to determine catalyst structures by correlating experimental conditions and directing agent characteristics to catalyst products. The correlating step is carried out by a performance model such as a neural net.