71 citations · 148 across the 7 of their papers we have counts for
5 papers · 1 filter
Spectroscopic constants from atomic properties: a machine learning approach
Mahmoud A. E. Ibrahim, X. LiU, J. Pérez-Ríos
We present a machine-learning approach toward predicting spectroscopic constants based on atomic properties. After collecting spectroscopic information on diatomics and generating…
Molecular dynamics-driven global tetra-atomic potential energy surfaces: Application to the AlF dimer
Xiangyue Liu, Weiqi Wang, Jesús Pérez-Ríos
In this work, we present a general machine learning approach for full-dimensional potential energy surfaces for tetra-atomic systems. Our method employs an active learning scheme t…
Cold atom-ion systems in radiofrequency multipole traps: event-drive molecular dynamics and stochastic simulations
Mateo Londoño, Javier Madroñero, Jesús Pérez-Ríos
We have studied the general aspects of the dynamics of an ion trapped in an ideal multipolar radiofrequency trap while interacting with a dense cold atomic gas. In particular, we h…
Three-body recombination in physical chemistry
Marjan Mirahmadi, Jesús Pérez-Ríos
Three-body recombination, or ternary association, is a termolecular reaction in which three particles collide, forming a bound state between two, whereas the third escapes freely.…
PyQCAMS: Python Quasi-Classical Atom-Molecule Scattering
Rian Koots, Jesús Pérez-Ríos
We present Python Quasi-classical atom-molecule scattering (PyQCAMS), a new Python package for atom-molecule scattering within the quasi-classical trajectory approach. The input co…