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C. A. Figg

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Preprint Aug 2026

PolymerGPT: Multi-property Optimization with a Decoder-Based GPT Model for Generative Polymer Design

This paper proposes PolymerGPT, a decoder-based GPT model that incorporates up to 37 commonly used polymer properties into the generative process via learned conditioning prefixes, and supports a scaffold condition that specifies a desired scaffold for predicted structures.

C. Pyle, A. Gadari, C. A. Figg et al. · 0 citations

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