Irkutsk National Research Technical University

most citedMachine Learning Photodynamics Unveils a Controlled H

_{2}

Loss Channel in Methaniminium Cation

1 citations

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collaborating institutions

Lomonosov Moscow State UniversityRU2 papers

2 papers

physics.chem-ph2025

XMCQDPT2-Fidelity Transfer-Learning Potentials and a Wavepacket Oscillation Model with Power-Law Decay for Ultrafast Photodynamics

Ivan V. Dudakov, Pavel M. Radzikovitsky, Dmitry S. Popov +5

A central pursuit in theoretical chemistry is the accurate simulation of photochemical reactions, which are governed by nonadiabatic transitions through conical intersections. Mach…

physics.chem-ph2025★ 1 cited

Machine Learning Photodynamics Unveils a Controlled H $_{2}$ Loss Channel in Methaniminium Cation

Daniil N. Chistikov, Pavel M. Radzikovitsky, Dmitry S. Popov +4

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…

XMCQDPT2-Fidelity Transfer-Learning Potentials and a Wavepacket Oscillation Model with Power-Law Decay for Ultrafast Photodynamics

Machine Learning Photodynamics Unveils a Controlled H2​ Loss Channel in Methaniminium Cation

Machine Learning Photodynamics Unveils a Controlled H $_{2}$ Loss Channel in Methaniminium Cation