Related Experiment Video
Updated: Jun 5, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Density-functional expansion methods: evaluation of LDA, GGA, and meta-GGA functionals and different integral
Timothy J Giese1, Darrin M York
1BioMaPS Institute and Department of Chemistry and Chemical Biology, Rutgers University, Piscataway, New Jersey 08854-8087, USA.
This study compares density functionals for small molecule properties using Kohn-Sham density-functional theory (DFT). Generalized gradient approximation (GGA) functionals show advantages over local density approximation (LDA) for hydrogen bonds.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Materials Science
Background:
- Density Functional Theory (DFT) is a powerful tool for electronic structure calculations.
- The Kohn-Sham (KS) framework is a cornerstone of modern DFT.
- Approximations in DFT functionals and integral calculations can impact accuracy.
Purpose of the Study:
- To extend the Kohn-Sham potential energy expansion (VE) to include kinetic energy density variations.
- To perform a systematic comparison of local density approximation (LDA), generalized gradient approximation (GGA), and meta-GGA density functionals.
- To investigate the impact of integral approximations on self-consistent charge density-functional tight-binding (SCC-DFTB) methods.
Main Methods:
- Utilized the VE formulation with a 6-31G* basis set.
- Employed a
- Jacob's ladder
- approach to compare different functional types.
- Examined the effect of integral approximations on energy and matrix elements.
Main Results:
- The VE formulation accurately reproduces standard KS-DFT results without integral approximations.
- Meta-GGA functionals offer no substantial improvement over GGA functionals for the studied properties.
- GGA functionals demonstrate clear advantages over LDA functionals in modeling hydrogen bonds.
- Integral approximations, particularly to first-order matrix elements, are identified as the primary source of short-range repulsion in SCC-DFTB.
Conclusions:
- The VE formulation is a reliable extension of KS-DFT.
- The choice of functional (GGA vs. LDA) is crucial for accurately describing hydrogen bonds.
- Approximations in integral calculations significantly influence the accuracy of SCC-DFTB methods, especially concerning short-range interactions.
Related Concept Videos
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...
Approximate Integration
Linearization and Approximation
Mechanistic Models: Compartment Models in Individual and Population Analysis
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...
State Function, Exact and Inexact Differentials