Accelerating materials language processing with large language models
Abstract Materials language processing (MLP) can facilitate materials science research by automating the extraction of structured data from research papers. Despite the existence of deep learning models for MLP tasks, there are ongoing practical issues associated with complex model architectures, ex...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-02-01
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| Series: | Communications Materials |
| Online Access: | https://doi.org/10.1038/s43246-024-00449-9 |