دورية أكاديمية
Efficient Hartree–Fock exchange algorithm with Coulomb range separation and long-range density fitting.
العنوان: | Efficient Hartree–Fock exchange algorithm with Coulomb range separation and long-range density fitting. |
---|---|
المؤلفون: | Sun, Qiming |
المصدر: | Journal of Chemical Physics; 12/14/2023, Vol. 159 Issue 22, p1-10, 10p |
مصطلحات موضوعية: | HARTREE-Fock approximation, COULOMB potential, DENSITY, ALGORITHMS |
مستخلص: | Separating the Coulomb potential into short-range and long-range components enables the use of different electron repulsion integral algorithms for each component. The short-range part can be efficiently computed using the analytical algorithm due to the locality in both the Gaussian-type orbital basis and the short-range Coulomb potentials. The integrals for the long-range Coulomb potential can be approximated with the density fitting method. A very small auxiliary basis is sufficient for the density fitting method to accurately approximate the long-range integrals. This feature significantly reduces the computational efforts associated with the N4 scaling in density fitting algorithms. For large molecules, the range separation and long-range density fitting method outperforms the conventional analytical integral evaluation scheme employed in Hartree–Fock calculations and provides more than twice the overall performance. In addition, this method offers a higher accuracy compared to conventional density fitting methods. The error in the Hartree–Fock energy can be easily reduced to 0.1 μE |
Copyright of Journal of Chemical Physics is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
قاعدة البيانات: | Complementary Index |
كن أول من يترك تعليقا!