Related Experiment Video
Updated: Apr 19, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Automatic algorithms for completeness-optimization of Gaussian basis sets
1Department of Physics, University of Helsinki, P. O. Box 64, FI-00014 University of Helsinki, Finland; Department of Applied Physics, COMP Center of Excellence, P. O. Box 11100, FI-00076, Aalto, Finland.
Abstract:
We present the generic, object-oriented C++ implementation of the completeness-optimization approach (Manninen and Vaara, J. Comput. Chem. 2006, 27, 434) in the freely available ERKALE program, and recommend the addition of basis set stability scans to the completeness-optimization procedure. The design of the algorithms is independent of the studied property, the used level of theory, as well as of the role of the optimized basis set: the procedure can be used to form auxiliary basis sets in a similar fashion. This implementation can easily be interfaced with various computer programs for the actual calculation of molecular properties for the optimization, and the calculations can be trivially parallelized. Routines for general and segmented contraction of the generated basis sets are also included. The algorithms are demonstrated for two properties of the argon atom--the total energy and the nuclear magnetic shielding constant--and they will be used in upcoming work for generation of cost-efficient basis sets for various properties.
Related Concept Videos
Gaussian Elimination: Problem Solving
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Hybridization of Atomic Orbitals I
Hybridization of Atomic Orbitals II
The Aufbau Principle and Hund's Rule
Atomic Orbitals

