A Two-Stage End-to-End Deep Learning Approach for Predicting Astrochemical Reactions

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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Bibliographic Details
Main Authors: Jiawei Wang, Yanan Zhang, Haili Bu, Yang Lu, Manni Duan, Donghui Quan, Peng Qiu
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2025-01-01
Series:Intelligent Computing
Online Access:https://spj.science.org/doi/10.34133/icomputing.0118
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