most citedMachine Learning Photodynamics Unveils a Controlled H Loss Channel in Methaniminium Cation

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 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 Loss Channel in Methaniminium Cation

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

The methaniminium cation, CHNH, plays an important role in Titan's N--CH atmospheric chemistry. As the simplest protonated Schiff base (PSB), it also serves as a…

physics.chem-ph2025

The Use of Wigner Expansion and Path Integral Method for Quantum Correction of the Low-Order Spectral Moments and Collision-Induced Absorption Profiles

Daniil N. Chistikov, Artem A. Finenko

This study aims at examination of the lower-order spectral moments in collision-induced absorption (CIA), taking the translational He-Ar band as an example. General quantum correct…

astro-ph.EP2021

Trajectory-based simulation of far-infrared CIA profiles of CHN for modeling Titan's atmosphere

Artem Finenko, Bruno Bézard, Iouli Gordon +4

We report the results of the trajectory-based simulation of far-infrared collision-induced absorption (CIA) due to CHN pairs at temperatures between 70 and 400 K. Our anal…