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

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Hauptverfasser: Chistikov, Daniil N., Radzikovitsky, Pavel M., Popov, Dmitry S., Dudakov, Ivan V., Korolev, Vadim V., Bochenkov, Vladimir E., Bochenkova, Anastasia V.
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Veröffentlicht: 2025
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author Chistikov, Daniil N.
Radzikovitsky, Pavel M.
Popov, Dmitry S.
Dudakov, Ivan V.
Korolev, Vadim V.
Bochenkov, Vladimir E.
Bochenkova, Anastasia V.
author_facet Chistikov, Daniil N.
Radzikovitsky, Pavel M.
Popov, Dmitry S.
Dudakov, Ivan V.
Korolev, Vadim V.
Bochenkov, Vladimir E.
Bochenkova, Anastasia V.
contents The methaniminium cation, CH$_2$NH$_2^+$, plays an important role in Titan's N$_2$--CH$_4$ 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 CH$_2$NH$_2^+$, 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 S$_1$/S$_0$ conical intersection that mediates the concerted double H-atom elimination from the carbon center of CH$_2$NH$_2^+$, yielding carbene CNH$_2^+$ as a direct precursor to HCNH$^+$. On-the-fly trajectory surface hopping dynamics confirm the presence of direct H$_2$ loss following excitation to either the S$_2$ or S$_1$ 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 S$_1$ state, enabling targeted control of the photochemical outcome.
format Preprint
id arxiv_https___arxiv_org_abs_2512_00913
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Machine Learning Photodynamics Unveils a Controlled H$_2$ Loss Channel in Methaniminium Cation
Chistikov, Daniil N.
Radzikovitsky, Pavel M.
Popov, Dmitry S.
Dudakov, Ivan V.
Korolev, Vadim V.
Bochenkov, Vladimir E.
Bochenkova, Anastasia V.
Chemical Physics
The methaniminium cation, CH$_2$NH$_2^+$, plays an important role in Titan's N$_2$--CH$_4$ 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 CH$_2$NH$_2^+$, 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 S$_1$/S$_0$ conical intersection that mediates the concerted double H-atom elimination from the carbon center of CH$_2$NH$_2^+$, yielding carbene CNH$_2^+$ as a direct precursor to HCNH$^+$. On-the-fly trajectory surface hopping dynamics confirm the presence of direct H$_2$ loss following excitation to either the S$_2$ or S$_1$ 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 S$_1$ state, enabling targeted control of the photochemical outcome.
title Machine Learning Photodynamics Unveils a Controlled H$_2$ Loss Channel in Methaniminium Cation
topic Chemical Physics
url https://arxiv.org/abs/2512.00913