Related Experiment Video
Updated: Jul 15, 2026
08:09
15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale
Published on: April 19, 2021
Initial steps toward automating the fitting of DFTB Erep(r).
J M Knaup1, B Hourahine, Th Frauenheim
1Bremen Center for Computational Materials Science, Universität Bremen, P. O. Box 330440, D-28334 Bremen, Germany. Jan.Knaup@bccms.uni-bremen.de
The Journal of Physical Chemistry. A
|April 13, 2007
Summary
Developing accurate repulsive pair potentials for density functional based tight-binding (DFTB) is time-consuming. This study explores a genetic algorithm to automate the parametrization process, aiming for efficiency and accuracy.
Area of Science:
- Computational chemistry
- Materials science
Background:
- Parametrization of repulsive pair potentials is crucial for the accuracy of the density functional based tight-binding (DFTB) method.
- The conventional method requires extensive manual effort for each elemental combination.
Purpose of the Study:
- To automate the time-consuming process of generating repulsive pair potentials for DFTB.
- To investigate the feasibility of using a genetic algorithm for this parametrization task.
Main Methods:
- A genetic algorithm-based approach was employed to fit the repulsive pair potentials.
- The focus was on automating the generation of diatomic potential parameters.
Main Results:
- An initial attempt at automating the parametrization of repulsive pair potentials was presented.
- The study demonstrates the potential of genetic algorithms in accelerating DFTB method development.
Conclusions:
- Automating the generation of repulsive pair potentials can significantly reduce development time for DFTB.
- Genetic algorithms offer a promising avenue for efficient and accurate DFTB parametrization.
