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

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.