POLYT5: an encoder-decoder foundation chemical language model for generative polymer design

Traditional machine learning has advanced polymer discovery, yet direct generation of chemically valid and synthesizable polymers without exhaustive enumeration remains a challenge. Here we present POLYT5, an encoder-decoder chemical language model based on the T5 architecture, trained to understand and generate polymer structures. POLYT5 enables both property prediction and the targeted generation of polymers conditioned on desired property values. We demonstrate its utility for dielectric poly