High-throughput experimentation (HTE) is a method that allows for the rapid screening of a large number of catalysts. By automating experimental procedures, HTE generates vast amounts of data quickly. When combined with advanced analytics and machine learning, HTE can significantly reduce the time and cost associated with catalyst discovery.
