Our new article is featured on the cover of the Journal of the American Ceramic Society! The article responds to a longstanding need for identifying a reasonable number of silicate compositions that represent the wide variability in engine deposits arising from airborne siliceous debris (ashes, dusts, sands, etc.) in the atmosphere. Ph.D. Candidate Andy Ericks worked with Profs. Frank Zok, Carlos Levi, and David Poerschke to develop the machine learning-based protocol.