Test set for materials science and engineering with user-friendly graphic tools for error analysis: Systematic benchmark of the numerical and intrinsic errors in state-of-the-art electronic-structure approximations
Igor Ying Zhang, Andrew J. Logsdail, Xinguo Ren, Sergey V., Levchenko, Luca Ghiringhelli, Matthias Scheffler

TL;DR
This paper introduces a comprehensive test set for materials science electronic-structure methods, enabling systematic error analysis with user-friendly tools, covering a hierarchy of approximations from mean-field to many-body theories.
Contribution
It provides a large, accurate benchmark dataset and graphical tools for error analysis across various electronic-structure methods in materials science.
Findings
Over 10,000 calculations for cohesive energy, lattice constant, and bulk modulus.
Systematic convergence tests for multiple electronic-structure methods.
Accessible web platform with graphical error analysis tools.
Abstract
Understanding the applicability and limitations of electronic-structure methods needs careful and efficient comparison with accurate reference data. Knowledge of the quality and errors of electronic-structure calculations is crucial to advanced method development, high-throughput computations, and data analyses. In this paper, we present a test set for computational materials science and engineering (MSE), that aims to provide accurate and easily accessible crystal properties for a hierarchy of exchange-correlation approximations, ranging from the well-established mean-field approximations to the state-of-the-art methods of many-body perturbation theory. We consider cohesive energy, lattice constant and bulk modulus as representatives for the first- and second-row elements and their binaries with cubic crystal structures and various bonding characters. A strong effort is made to push…
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