Human–AI collaboration for modeling heat conduction in nanostructures
Abstract Materials informatics, which combines data science and artificial intelligence (AI), has garnered significant attention owing to its ability to accelerate material development. However, human involvement is often limited to the initiation and oversight of machine learning processes and rare...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | npj Computational Materials |
| Online Access: | https://doi.org/10.1038/s41524-025-01657-8 |
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