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Wiley Interdisciplinary Reviews Computational Molecular Science· 2018Q1

Quantum‐mechanical condensed matter simulations with CRYSTAL

Roberto Dovesi, Alessandro Erba, Roberto Orlando, Claudio M. Zicovich‐Wilson et al.

Short summary

The latest release of the CRYSTAL program introduces significant advancements in quantum-mechanical simulations for solid-state materials, enabling accurate calculations across all dimensionalities (0D to 3D) with enhanced efficiency.

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Key points

  • Handles all dimensionalities (0D to 3D) without artificial repetition.
  • Efficient implementation of hybrid functionals at modest computational cost.
  • Full exploitation of translational and point-symmetry features reduces computational cost.
  • Computes a wide range of properties including electronic, vibrational, thermal, optical, and transport properties.

AI-generated from the title and abstract; the full text is not read.

Abstract

The latest release of the Crystal program for solid‐state quantum‐mechanical ab initio simulations is presented. The program adopts atom‐centered Gaussian‐type functions as a basis set, which makes it possible to perform all‐electron as well as pseudopotential calculations. Systems of any periodicity can be treated at the same level of accuracy (from 0D molecules, clusters and nanocrystals, to 1D polymers, helices, nanorods, and nanotubes, to 2D monolayers and slab models for surfaces, to actual 3D bulk crystals), without any artificial repetition along nonperiodic directions for 0–2D systems. Density functional theory calculations can be performed with a variety of functionals belonging to several classes: local‐density (LDA), generalized‐gradient (GGA), meta‐GGA, global hybrid, range‐separated hybrid, and self‐consistent system‐specific hybrid. In particular, hybrid functionals can be used at a modest computational cost, comparable to that of pure LDA and GGA formulations, because of the efficient implementation of exact nonlocal Fock exchange. Both translational and point‐symmetry features are fully exploited at all steps of the calculation, thus drastically reducing the corresponding computational cost. The various properties computed encompass electronic structure (including magnetic spin‐polarized open‐shell systems, electron density analysis), geometry (including full or constrained optimization, transition‐state search), vibrational properties (frequencies, infrared and Raman intensities, phonon density of states), thermal properties (quasi‐harmonic approximation), linear and nonlinear optical properties (static and dynamic [hyper]polarizabilities), strain properties (elasticity, piezoelectricity, photoelasticity), electron transport properties (Boltzmann, transport across nanojunctions), as well as X‐ray and inelastic neutron spectra. The program is distributed in serial, parallel, and massively parallel versions. In this paper, the original developments that have been devised and implemented in the last 4 years (since the distribution of the previous public version, Crystal14 , occurred in December 2013) are described. This article is categorized under: Software > Quantum Chemistry Structure and Mechanism > Computational Materials Science Electronic Structure Theory > Density Functional Theory

The authors' abstract, as published at the source. Wiley Interdisciplinary Reviews Computational Molecular Science, 2018 · DOI ↗

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Field: Condensed Matter Physics

Condensed Matter PhysicsPhysics and Astronomy