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Published on: May 27, 2020
Double-hybrid density-functional theory applied to molecular crystals
Kamal Sharkas1, Julien Toulouse1, Lorenzo Maschio2
1Laboratoire de Chimie Théorique, Sorbonne Universités, UPMC Univ Paris 06, UMR 7616, F-75005 Paris, France.
This study evaluated double-hybrid approximations for calculating crystal lattice energies. One-parameter double-hybrid methods using PBEsol achieved accuracy comparable to local second-order Møller-Plesset perturbation theory (LMP2).
Area of Science:
- Computational chemistry
- Solid-state physics
- Quantum chemistry
Background:
- Accurate calculation of lattice energies is crucial for understanding molecular crystals.
- Double-hybrid approximations offer a promising route to improve upon standard density functional theory and perturbation theory methods.
Purpose of the Study:
- To assess the performance of various double-hybrid approximations for computing lattice energies of molecular crystals.
- To compare the accuracy of these methods against standard local second-order Møller-Plesset (LMP2) perturbation theory and Kohn-Sham calculations.
Main Methods:
- The study employed one- and two-parameter double-hybrid approximations.
- These methods combined semilocal exchange-correlation density functionals with periodic local second-order Møller-Plesset (LMP2) perturbation theory.
- Calculations were performed for urea, formamide, ammonia, and carbon dioxide molecular crystals, as well as molecular dimers and the hydrogen cyanide crystal.
Main Results:
- All tested double-hybrid methods showed improved performance over Kohn-Sham calculations with identical functionals.
- However, their performance was generally not superior to standard LMP2.
- One-parameter double-hybrid approximations utilizing the PBEsol density functional achieved lattice energies with an accuracy of approximately 6 kJ/mol, matching LMP2's accuracy.
Conclusions:
- Double-hybrid approximations, particularly one-parameter variants with PBEsol, provide accurate lattice energies for molecular crystals.
- These methods represent a valuable advancement in computational materials science, offering accuracy comparable to established techniques like LMP2.
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