Accelerating material discovery for CdTe solar cells using knowledge intense word embeddings
Thin film CdTe is the most successful second-generation solar photovoltaic technology, and further development will significantly contribute to net zero emission targets. Natural language processing technologies are applied to accelerate research on CdTe solar cells towards new material discoveries....
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| Main Authors: | , , , |
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| Format: | Default Conference proceeding |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/27854034.v1 |
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