LLM-Prop: predicting the properties of crystalline materials using large language models
Abstract The prediction of crystal properties plays a crucial role in materials science and applications. Current methods for predicting crystal properties focus on modeling crystal structures using graph neural networks (GNNs). However, accurately modeling the complex interactions between atoms and...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Portfolio
2025-06-01
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| Serier: | npj Computational Materials |
| Online adgang: | https://doi.org/10.1038/s41524-025-01536-2 |
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