Numerical analysis of the influence of initial and external conditions on the association of artificial atoms

TL;DR

This paper investigates how initial and external conditions affect the behavior of artificial atoms using numerical analysis, focusing on electron dynamics influenced by temperature and photons, and explores algorithms to manage computational complexity.

Contribution

It introduces algorithms for state space selection to address the exponential growth in computational complexity in simulating artificial atom dynamics.

Findings

Electrons jump between potential holes of different depths under external influences

Algorithms for state space selection can mitigate computational complexity

Initial and external conditions significantly impact electron behavior in artificial atoms

Abstract

The chemical dynamics scene is the most important application of computer simulation. We show that electrons jump between potential holes of different depths (new molecular orbits, hybrid atomic orbits with different energies) under the influence of temperature (phonons) and photon phenomena. To overcome exponentially increasing computational complexity. In our article we experimented with algorithms of state space selection.