Fu Yan-Lin, Lu Xiaoxiao, Han Yong-Chang, Fu Bina, Zhang Dong H
School of Physics, Dalian University of Technology, Dalian 116024, China.
State Key Laboratory of Molecular Reaction Dynamics and Center for Theoretical and Computational Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
J Chem Phys. 2021 Jan 14;154(2):024302. doi: 10.1063/5.0033682.
The collisions transferring large portions of energy are often called supercollisions. In the H + CH reactive system, the rovibrationally cold CH molecule can be activated with substantial internal excitations by its collision with a translationally hot H atom. It is interesting to investigate the mechanisms of collisional energy transfer in other important reactions of H with hydrocarbons. Here, an accurate, global, full-dimensional potential energy surface (PES) of H + CH was constructed by the fundamental invariant neural network fitting based on roughly 100 000 UCCSD(T)-F12a/aug-cc-pVTZ data points. Extensive quasi-classical trajectory calculations were carried out on the full-dimensional PES to investigate the energy transfer process in collisions of the translationally hot H atoms with CH in a wide range of collision energies. The computed function of the energy-transfer probability is not a simple exponential decay function but exhibits large magnitudes in the region of a large amount of energy transfer, indicating the signature of supercollisions. The supercollisions among non-complex-forming nonreactive (prompt) trajectories are frustrated complex-forming processes in which the incoming H atom penetrates into CH with a small C-H distance but promptly and directly leaves CH. The complex-forming supercollisions, in which either the attacking H atom leaves (complex-forming nonreactive collisions) or one of the original H atoms of CH leaves (complex-forming reactive trajectories), dominate large energy transfer from the translational energy to internal excitation of molecule. The current work sheds valuable light on the energy transfer of this important reaction in the combustion and may motivate related experimental investigations.
传递大部分能量的碰撞通常被称为超级碰撞。在H + CH反应体系中,振动转动冷却的CH分子与平动热的H原子碰撞时,可被激发产生大量内部激发。研究H与碳氢化合物其他重要反应中的碰撞能量转移机制很有意思。在此,基于约100000个UCCSD(T)-F12a/aug-cc-pVTZ数据点,通过基本不变神经网络拟合构建了精确、全局、全维的H + CH势能面(PES)。在全维PES上进行了广泛的准经典轨迹计算,以研究平动热的H原子与CH在广泛碰撞能量范围内碰撞时的能量转移过程。计算得到的能量转移概率函数不是简单的指数衰减函数,而是在大量能量转移区域呈现出较大的值,这表明了超级碰撞的特征。非复合形成非反应性(即时)轨迹之间的超级碰撞是受阻的复合形成过程,其中入射的H原子以较小的C - H距离穿透CH,但迅速直接离开CH。复合形成超级碰撞,即攻击的H原子离开(复合形成非反应性碰撞)或CH的原始H原子之一离开(复合形成反应性轨迹),主导了从平动能到分子内部激发的大量能量转移。当前工作为燃烧中这一重要反应的能量转移提供了有价值的见解,并可能推动相关实验研究。