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在N{\displaystyle N}4Su+C2{\displaystyle C}a3Πu的全球潜在能量表面上,特定状态的分离动力学:机器学习驱动的分子模拟

Jia-Rui Zhang1, Hong Zhang2, Xin-Lu Cheng1

  • 1Institute of Atomic and Molecular Physics, Sichuan University, Chengdu 610065, China.

The Journal of chemical physics
|August 25, 2025
PubMed
概括

使用分子动力学和机器学习模拟N + C2的碰撞诱导解离. 振动刺激显著影响解离,使得高超音速航空应用的准确预测成为可能.

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