张博雅, 刘沛琼, 郝迈, 李兴文. 基于数据驱动方法反演C4F7N气体完整自洽碰撞截面集的研究[J]. 中国电机工程学报, 2025, 45(2): 791-802. DOI: 10.13334/j.0258-8013.pcsee.232335
引用本文: 张博雅, 刘沛琼, 郝迈, 李兴文. 基于数据驱动方法反演C4F7N气体完整自洽碰撞截面集的研究[J]. 中国电机工程学报, 2025, 45(2): 791-802. DOI: 10.13334/j.0258-8013.pcsee.232335
ZHANG Boya, LIU Peiqiong, HAO Mai, LI Xingwen. Inversion Calculation of A Complete and Self-consistent Collisional Cross-section Set of C4F7N Using Data-driven Method[J]. Proceedings of the CSEE, 2025, 45(2): 791-802. DOI: 10.13334/j.0258-8013.pcsee.232335
Citation: ZHANG Boya, LIU Peiqiong, HAO Mai, LI Xingwen. Inversion Calculation of A Complete and Self-consistent Collisional Cross-section Set of C4F7N Using Data-driven Method[J]. Proceedings of the CSEE, 2025, 45(2): 791-802. DOI: 10.13334/j.0258-8013.pcsee.232335

基于数据驱动方法反演C4F7N气体完整自洽碰撞截面集的研究

Inversion Calculation of A Complete and Self-consistent Collisional Cross-section Set of C4F7N Using Data-driven Method

  • 摘要: 以C4F7N为代表的新型环保气体由于缺乏完整且物理自洽的电子-分子碰撞截面集,限制了对其微观放电机制的研究。该文应用数据驱动的方法,根据电子群参数与碰撞截面之间自洽的物理联系,基于LXCat数据库中大量碰撞截面数据,建立由电子群参数到碰撞截面的映射关系。在人工修正的C4F7N气体碰撞截面集和电子群参数实验数据的基础上,成功预测出一组新的完整且物理自洽的碰撞截面集,并评价预测C4F7N碰撞截面集的准确性、完备性和自洽性。结果表明,新的碰撞截面集计算的C4F7N气体电子群参数与实验值更加吻合。所采用的数据驱动方法可提高获得碰撞截面过程的效率,减弱人工修正过程中的主观性,为获得新型环保气体的碰撞截面提供新的思路。

     

    Abstract: The lack of a complete and physically self-consistent electron-neutral collisional cross section set for the eco-friendly gases represented by C4F7N limits the study of their microscopic discharge mechanisms. Based on the self-consistent physical connection between the electron swarm parameters and the collisional cross sections, a data-driven method is adopted to establish the mapping relationship from electron swarm parameters to realistic collisional cross sections from the LXCat project. A new complete and physically self-consistent set of collisional cross sections is successfully predicted on the basis of manually corrected C4F7N gas collisional cross section set and experimental data on electron swarm parameters. The accuracy, completeness, and internal consistency of the predicted C4F7N cross section set are evaluated. The results show that the electron swarm parameters of C4F7N calculated by the new collisional cross section set are more consistent with the experimental values. The adopted data-driven method can greatly improve the efficiency of the process of obtaining a collisional cross section set. In addition, this method can reduce the subjectivity in the manual correction process, which provides a new way to obtain the collisional cross sections of new eco-friendly gases.

     

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