Copolymer Informatics with Multi-Task Deep Neural Networks

@article{Kuenneth2021CopolymerIW,
  title={Copolymer Informatics with Multi-Task Deep Neural Networks},
  author={Christopher Kuenneth and William Schertzer and Rampi Ramprasad},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.14174}
}
Polymer informatics tools have been recently gaining ground to efficiently and effectively develop, design, and discover new polymers that meet specific application needs. So far, however, these data-driven efforts have largely focused on homopolymers. Here, we address the property prediction challenge for copolymers, extending the polymer informatics framework beyond homopolymers. Advanced polymer fingerprinting and deep-learning schemes that incorporate multi-task learning and meta-learning… 
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