Density functional theory for molecular and periodic systems using density fitting and continuous fast multipole method: Analytical gradients. Issue 28 (24th August 2016)

• Record Type: Journal Article
• Authors: Łazarski, Roman; Burow, Asbjörn Manfred; Grajciar, Lukáš; Sierka, Marek
• Is Part Of: Journal of computational chemistry. Volume 37:Issue 28(2016)
• Page Start: 2518
• Page End: 2526
• Publication Date: 2016-08-24
• Subjects: ab initio calculations -- density‐functional theory -- Gaussian‐basis sets -- continuous fast multipole method -- density fitting; Chemistry -- Data processing -- Periodicals; 542.85
• DOI: 10.1002/jcc.24477
• Languages: English
• ISSNs: 0192-8651

Abstract

Abstract : A full implementation of analytical energy gradients for molecular and periodic systems is reported in the TURBOMOLE program package within the framework of Kohn–Sham density functional theory using Gaussian‐type orbitals as basis functions. Its key component is a combination of density fitting (DF) approximation and continuous fast multipole method (CFMM) that allows for an efficient calculation of the Coulomb energy gradient. For exchange‐correlation part the hierarchical numerical integration scheme (Burow and Sierka, Journal of Chemical Theory and Computation 2011, 7, 3097) is extended to energy gradients. Computational efficiency and asymptotic O ( N ) scaling behavior of the implementation is demonstrated for various molecular and periodic model systems, with the largest unit cell of hematite containing 640 atoms and 19, 072 basis functions. The overall computational effort of energy gradient is comparable to that of the Kohn–Sham matrix formation. © 2016 Wiley Periodicals, Inc. Abstract : An implementation of analytical energy gradients for molecular and periodic systems in the TURBOMOLE program package within the Kohn–Sham density functional theory formalism using Gaussian‐type basis sets is reported. Its core is a combination of density fitting (DF) approximation and continuous fast multipole method (CFMM) applied for Coulomb energy gradient. Computational efficiency and asymptotic O ( N ) scaling behavior of the implementation is demonstrated for various molecular and periodic model systems, containing up to 640 atoms and 19, 072 basis functions.