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20112025
most citedA Dynamic Analysis of Energy Storage with Renewable and Diesel Generation using Volterra Equations

81 citations

30 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…

cond-mat.stat-mech2022★ 7 cited

Second to first order phase transition; coevolutionary versus structural balance

M. Ghanbarzadeh Noudehi, A. Kargaran, N. Azimi-Tafreshi +1

In social networks, the balance theory has been studied by considering either the triple interactions between the links (structural balance) or the triple interaction of nodes and…

physics.chem-ph2022★ 4 cited

Accurate neural-network-based fitting of full-dimensional two-body potential energy surfaces

Artem Finenko

We describe the development of machine-learned potentials of atmospheric gases with flexible monomers for molecular simulations. A recently suggested permutationally invariant poly…

q-fin.MF2022★ 1 cited

Quantum Bohmian Inspired Potential to Model Non-Gaussian Events and the Application in Financial Markets

Reza Hosseini, Samin Tajik, Zahra Koohi Lai +3

We have implemented quantum modeling mainly based on Bohmian Mechanics to study time series that contain strong coupling between their events. We firstly propose how compared to no…

physics.soc-ph2022★ 5 cited

Modified Heider Balance on Sparse Random Networks

R. Masoumi, F. Oloomi, S. Sajjadi +2

The lack of signed random networks in standard balance studies has prompted us to extend the Hamiltonian of the standard balance model. Random networks with tunable parameters are…