Bioplastic design using multitask deep neural networks
Biodegradable polyhydroxyalkanoates are promising replacements for non-degradable plastics. Here, neural network property predictors are applied to a search space of approximately 1.4 million candidates, identifying 14 polyhydroxyalkanoates that could replace widely used petroleum-based plastics.
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-12-01
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| Series: | Communications Materials |
| Online Access: | https://doi.org/10.1038/s43246-022-00319-2 |