A T5-based polymer language model pre-trained on 100 million hypothetical polymers predicts thermal, electronic, and solubility properties and generates polymers conditioned on a target glass-transition temperature, with one experimental validation.
He,et al., Molecular optimization by capturing chemist’s intuition using deep neural net- works.J
1 Pith paper cite this work, alongside 106 external citations. Polarity classification is still indexing.
1
Pith paper citing it
106
external citations · OpenAlex
fields
cond-mat.mtrl-sci 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design
A T5-based polymer language model pre-trained on 100 million hypothetical polymers predicts thermal, electronic, and solubility properties and generates polymers conditioned on a target glass-transition temperature, with one experimental validation.