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Assessment of DLPNO-MP2 Approximations in Double-Hybrid DFT

Hagen Neugebauer, Peter Pinski, Stefan Grimme, Frank Neese, Markus Bursch

2023Journal of Chemical Theory and Computation32 citationsDOIOpen Access PDF

Abstract

High Resolution Image Download MS PowerPoint Slide The unfavorable scaling ( N 5 ) of the conventional second-order Møller–Plesset theory (MP2) typically prevents the application of double-hybrid (DH) density functionals to large systems with more than 100 atoms. A prominent approach to reduce the computational demand of electron correlation methods is the domain-based local pair natural orbital (DLPNO) approximation that is successfully used in the framework of DLPNO-CCSD(T). Its extension to MP2 [Pinski P.; Riplinger, C.; Valeev, E. F.; Neese, F. J. Chem. Phys. 2015, 143, 034108.] paved the way for DLPNO-based DH (DLPNO-DH) methods. In this work, we assess the accuracy of the DLPNO-DH approximation compared to conventional DHs on a large number of 7925 data points for thermochemistry and 239 data points for structural features, including main-group and transition-metal systems. It is shown that DLPNO-DH-DFT can be applied successfully to perform energy calculations and geometry optimizations for large molecules at a drastically reduced computational cost. Furthermore, PNO space extrapolation is shown to be applicable, similar to its DLPNO-CCSD(T) counterpart, to reduce the remaining error.

Topics & Concepts

ExtrapolationDensity functional theoryPhysicsAb initioStatistical physicsAtomic physicsMathematicsQuantum mechanicsMathematical analysisAdvanced Chemical Physics StudiesCrystallography and molecular interactionsMachine Learning in Materials Science
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