Abstract Machine learning (ML) methods have recently been increasingly widely used in
quantum chemistry. While ML methods are now accepted as high accuracy approaches to …

In the effective mass approximation, we calculated the binding energy and wave function for
the 1s-, 1p-, 1d-and 1f-states of a spherical quantum dot (QD) with parabolic potential by …

The Schrödinger equation is one of the most important equations in physics and chemistry
and can be solved in the simplest cases by computer numerical methods. Since the …

The electronic structure of Quantum Dot (QD), GaAs/Al x Ga 1-x As, has been investigated
by using a combination of Quantum Genetic Algorithm (QGA) and Hartree–Fock–Roothaan …

In this study, electronic properties of a low-dimensional quantum mechanical structure have
been investigated by using Genetic Algorithm (GA). One-and two-electron Quantum Dot …

This book can be regarded as' Soft computing for physicists and chemists self-taught'. It
prepares the readers with a solid background of soft computing and how to adapt soft …

In this article, we explore the efficiency of using a coupled genetic algorithm (GA) and
density functional theory (DFT) based strategy to evaluate probable structures of (H2O) nF …

Genetic algorithms belong to a stochastic class of evolutionary techniques, whose
robustness and global search of the solutions space have made them extremely popular …

A new evolutionary algorithm for stochastic configuration interaction (CI) method designed
as an affordable approximation to full configuration interaction (FCI) has been described …

We analyze the condition for instability and pattern formation in reaction-diffusion systems
beyond the usual linear regime. The approach is based on taking into account perturbations …