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| Open AccessBioplastic 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.
- Christopher Kuenneth
- , Jessica Lalonde
- & Ghanshyam Pilania
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Article
| Open AccessMachine learning autonomous identification of magnetic alloys beyond the Slater-Pauling limit
Finding materials with large magnetization is highly desirable for technological applications. Here, a machine learning autonomous search and automated combinatorial synthesis reveal that multi-element alloys with Ir and Pt impurities have a magnetization exceeding the Slater-Pauling limit of Fe75Co25.
- Yuma Iwasaki
- , Ryohto Sawada
- & Masahiko Ishida