English

Machine Learning Photodynamics Unveils a Controlled H$_2$ Loss Channel in Methaniminium Cation

Chemical Physics 2025-12-30 v1

Abstract

The methaniminium cation, CH2_2NH2+_2^+, plays an important role in Titan's N2_2--CH4_4 atmospheric chemistry. As the simplest protonated Schiff base (PSB), it also serves as a model for studying the nonadiabatic dynamics of retinal PSB, the chromophore central to vertebrate vision. While previous studies have established CN bond cleavage and photoisomerization as the primary pathways in the photochemistry of CH2_2NH2+_2^+, we now report a new UV-induced photochemical pathway to HCNH+^+, the dominant ion in Titan's upper atmosphere. Through high-level XMCQDPT2 and CASSCF(12,12) calculations, we identify a novel S1_1/S0_0 conical intersection that mediates the concerted double H-atom elimination from the carbon center of CH2_2NH2+_2^+, yielding carbene CNH2+_2^+ as a direct precursor to HCNH+^+. On-the-fly trajectory surface hopping dynamics confirm the presence of direct H2_2 loss following excitation to either the S2_2 or S1_1 state. Furthermore, our large-scale, machine learning-accelerated simulations reveal that mode-specific pre-excitation can selectively funnel the dynamics into this new channel via the vibronically allowed S1_1 state, enabling targeted control of the photochemical outcome.

Keywords

Cite

@article{arxiv.2512.00913,
  title  = {Machine Learning Photodynamics Unveils a Controlled H$_2$ Loss Channel in Methaniminium Cation},
  author = {Daniil N. Chistikov and Pavel M. Radzikovitsky and Dmitry S. Popov and Ivan V. Dudakov and Vadim V. Korolev and Vladimir E. Bochenkov and Anastasia V. Bochenkova},
  journal= {arXiv preprint arXiv:2512.00913},
  year   = {2025}
}

Comments

13 pages, 5 figures