Toward a learnable Artificial Intelligence Model for Aerosol Chemistry and Interactions (AIMACI) based on the Multi-Head Self-Attention algorithm

分类与摘要

面向天气、海洋、气溶胶或地球系统模拟，强调模型预测能力与科学解释。

证据摘录：y of Fire Science/Institute of Advanced Interdisciplinary Research on High-Performance Computing Systems and Software, University of Science and Technology of China, Hefei, China 2Laoshan Laboratory, Qingdao, China 3CAS Center for Excellence in Comparative Planetology, University of Science and Technology of China, Hefei, China 4School of Computer Science and Technology, University of Science and Technology of Chin || y of Fire Science/Institute of Advanced Interdisciplinary Research on High-Performance Computing Systems and Software, University of Science and Technology of China, Hefei, China 2Laoshan Laboratory, Qingdao, China 3CAS Center for Excellence in Comparative Planetology, University of Science and Technology of China, Hefei, China 4School of Computer Science and Technology, University of Science and Technol || STC Research Funds of the Double First-Class Initiative (grant nos. YD2080002007, KY2080000114), and the Science and Technology Innovation Project of Laoshan Laboratory (grant no. LSKJ202300305). Review statement. This paper was edited by Minghuai Wang and reviewed by two anonymous referees. References Arfin, T., Pillai, A. M., Mathew, N., Tirpude, A., Bang, R., and Mon- dal, P.: An overview of atmospheric aero || STC Research Funds of the Double First-Class Initiative (grant nos. YD2080002007, KY2080000114), and the Science and Technology Innovation Project of Laoshan Laboratory (grant no. LSKJ202300305). Review statement. This paper was edited by Minghuai Wang and reviewed by two anonymous referees. References Arfin, T., Pillai, A. M., Mathew, N., Tirpude, A., Bang, R., and Mon- dal, P.: An overview of atmosph

引用

Xia, Zihan; Zhao, Chun;Yang, Zining;Du, Qiuyan;Feng, Jiawang;Jin, Chen;Shi, Jun;An, Hong ,Toward a learnable Artificial Intelligence Model for Aerosol Chemistry and Interactions (AIMACI) based on the Multi-Head Self-Attention algorithm, ATMOSPHERIC CHEMISTRY AND PHYSICS,VOL:25 NO:12 PP:6197-6218, 2025-06

@article{acsa2025_12,
  title = {Toward a learnable Artificial Intelligence Model for Aerosol Chemistry and Interactions (AIMACI) based on the Multi-Head Self-Attention algorithm},
  year = {2025},
  doi = {10.5194/acp-25-6197-2025}
}