Researchers create first AI for generative Polymer Design
- Mar 26
- 1 min read
GEORGIA TECH — Led by Regents’ Entrepreneur Rampi Ramprasad, the researchers described their latest model this month in the Nature journal npj Artificial Intelligence — including a test material they created and validated in the lab to prove the models work.
“This architecture learns the chemical semantics and chemical grammar.
It learns what is allowed, what is not allowed, what comes together well, and what makes a good chemical sentence,” said Ramprasad, Michael E. Tennenbaum Family Chair and professor in the School of Materials Science and Engineering.
“A word is really defined by the neighbors it keeps. That's the context for the meaning of a word. It’s the same with atoms or clusters of atoms.”
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