Related Experiment Video
Updated: Sep 11, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Artificial Intelligence-Driven Optimization of Gaussian Orbital Expansions via Evolutionary Computing: Applications
Victor García1, Manuel Fernández1
1Departamento de Química-Física, Facultad de Ciencias, Campus Universitario Río San Pedro, Universidad de Cádiz, 11510, Puerto Real, Cádiz, Spain.
None:
Two artificial intelligence techniques, genetic algorithms and differential evolution, are applied to generate Gaussian expansions (φ-nG) for both free and sphere-confined atomic orbitals. A program (UCA-GSS-GA) is developed to enable the efficient calculation of these expansions. The accuracy of the obtained expansions is analyzed, and they are used to significantly refine self-consistent reaction field models for solvent effects. The orbitals, atoms, and molecules analyzed include some of the simplest systems (1s, H, H2, and CH4). However, the developed program is capable of handling all types of molecules and solvents.
More Related Videos
11:53The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
08:04Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
Published on: May 27, 2020
Related Concept Videos
Hybridization of Atomic Orbitals II
Hybridization of Atomic Orbitals I
Atomic Orbitals
The Energies of Atomic Orbitals
Molecular Orbital Theory II
Molecular Orbital Theory I