A Two-Stage End-to-End Deep Learning Approach for Predicting Astrochemical Reactions
Understanding the astronomical evolution of celestial regions necessitates reconstructing evolutionary pathways within dynamic physical environments, which heavily relies on precise and comprehensive astrochemical reaction networks. Traditional methods rely on expert knowledge and incur substantial...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2025-01-01
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| Series: | Intelligent Computing |
| Online Access: | https://spj.science.org/doi/10.34133/icomputing.0118 |
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