Accelerated discovery of multi-elemental reverse water-gas shift catalysts using extrapolative machine learning approach
Abstract Designing novel catalysts is key to solving many energy and environmental challenges. Despite the promise that data science approaches, including machine learning (ML), can accelerate the development of catalysts, truly novel catalysts have rarely been discovered through ML approaches becau...
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-09-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-41341-3 |