4.7 Article

Geometries and vibrational frequencies with Kohn-Sham methods using σ-functionals for the correlation energy

Journal

JOURNAL OF CHEMICAL PHYSICS
Volume 158, Issue 4, Pages -

Publisher

AIP Publishing
DOI: 10.1063/5.0129524

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Recently, sigma-functionals have been introduced as new correlation functionals in Kohn-Sham (KS) methods. When used in a post-self-consistent field manner in a Gaussian basis set framework, sigma-functional methods are computationally efficient and highly accurate for main group chemistry. They can reach a chemical accuracy of 1 kcal/mol for reaction and transition state energies. Sigma-functional methods yield accurate geometries and vibrational frequencies for main group molecules superior to conventional KS methods and RPA methods.
Recently, Kohn-Sham (KS) methods with new correlation functionals, called sigma-functionals, have been introduced. Technically, sigma-functionals are closely related to the well-known random phase approximation (RPA); formally, sigma-functionals are rooted in perturbation theory along the adiabatic connection. If employed in a post-self-consistent field manner in a Gaussian basis set framework, then, sigma-functional methods are computationally very efficient. Moreover, for main group chemistry, sigma-functionals are highly accurate and can compete with high-level wave-function methods. For reaction and transition state energies, e.g., chemical accuracy of 1 kcal/mol is reached. Here, we show how to calculate first derivatives of the total energy with respect to nuclear coordinates for methods using sigma-functionals and then carry out geometry optimizations for test sets of main group molecules, transition metal compounds, and non-covalently bonded systems. For main group molecules, we additionally calculate vibrational frequencies. sigma-Functional methods are found to yield very accurate geometries and vibrational frequencies for main group molecules superior not only to those from conventional KS methods but also to those from RPA methods. For geometries of transition metal compounds, not surprisingly, best geometries are found for RPA methods, while sigma-functional methods yield somewhat less good results. This is attributed to the fact that in the optimization of sigma-functionals, transition metal compounds could not be represented well due to the lack of reliable reference data. For non-covalently bonded systems, sigma-functionals yield geometries of the same quality as the RPA or as conventional KS schemes combined with dispersion corrections.

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