Advancing extrapolative predictions of material properties through learning to learn using extrapolative episodic training
Abstract Recent advancements in machine learning have demonstrated its potential to significantly accelerate the discovery of new materials. Central to this progress is the development of rapidly computable property predictors, which allow identifying novel materials with the desired properties from...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
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| Series: | Communications Materials |
| Online Access: | https://doi.org/10.1038/s43246-025-00754-x |
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