Our Generative deep learning as a tool for inverse design of high entropy refractory alloys (10.20517/jmi.2021.05) paper in the Journal of Materials Informatics received the Best 2022 Paper Award (3rd Place). Notably, in the last year, it was also the most downloaded paper in the journal.