Error estimates for solid-state density-functional theory predictions: an overview by means of the ground-state elemental crystals
arXiv:1204.2733 · doi:10.1080/10408436.2013.772503
Abstract
Predictions of observable properties by density-functional theory calculations (DFT) are used increasingly often in experimental condensed-matter physics and materials engineering as data. These predictions are used to analyze recent measurements, or to plan future experiments. Increasingly more experimental scientists in these fields therefore face the natural question: what is the expected error for such an ab initio prediction? Information and experience about this question is scattered over two decades of literature. The present review aims to summarize and quantify this implicit knowledge. This leads to a practical protocol that allows any scientist - experimental or theoretical - to determine justifiable error estimates for many basic property predictions, without having to perform additional DFT calculations. A central role is played by a large and diverse test set of crystalline solids, containing all ground-state elemental crystals (except most lanthanides). For several properties of each crystal, the difference between DFT results and experimental values is assessed. We discuss trends in these deviations and review explanations suggested in the literature. A prerequisite for such an error analysis is that different implementations of the same first-principles formalism provide the same predictions. Therefore, the reproducibility of predictions across several mainstream methods and codes is discussed too. A quality factor Delta expresses the spread in predictions from two distinct DFT implementations by a single number. To compare the PAW method to the highly accurate APW+lo approach, a code assessment of VASP and GPAW with respect to WIEN2k yields Delta values of 1.9 and 3.3 meV/atom, respectively. These differences are an order of magnitude smaller than the typical difference with experiment, and therefore predictions by APW+lo and PAW are for practical purposes identical.
27 pages, 20 figures, supplementary material available (v5 contains updated supplementary material)
References in corpus (8)
- A Higher-Accuracy van der Waals Density Functional
- Effect of van der Waals interactions on the structural and elastic properties of black phosphorus
- Theoretical investigation on the transition metal borides with Ta3B4-type structure: a class of hard and refractory materials
- Proving the Perdew-Burke-Ernzerhof density functional designed for metallic bulk and surface systems
- New Superconducting and Semiconducting Fe-B Compounds Predicted with an Ab Initio Evolutionary Search
- A Periodic Genetic Algorithm with Real-Space Representation for Crystal Structure and Polymorph Prediction
- Van der Waals interactions in the ground state of Mg(BH4)2 from density functional theory
- An Improved Real--Space Genetic Algorithm for Crystal Structure and Polymorph Prediction
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