Tensor databases empower AI for science: A case study on retrosynthetic analysis
Retrosynthetic analysis is highly significant in chemistry, biology, and materials science, providing essential support for the rational design, synthesis, and optimization of compounds across diverse Artificial Intelligence for Science (AI4S) applications. Retrosynthetic analysis focuses on explori...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co. Ltd.
2025-03-01
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| Series: | BenchCouncil Transactions on Benchmarks, Standards and Evaluations |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772485925000298 |
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