Duke University researchers develop a novel method of encrypting text, harnessing the chaos of computer simulated bacterial growth. Expanding on their recent article in data science journal Patterns, the team summarizes their use of machine learning frame-by-frame analysis of organic reaction–diffusion system animations to en- and decode text strings. “These patterns in essence constitutes a new, digitally generated coding scheme, which we call Emorfi,” they write.