Yang Jing, Falletta Stefano, Pasquarello Alfredo
Chaire de Simulation à l'Echelle Atomique (CSEA), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, CH-1015 Switzerland.
NPJ Comput Mater. 2023;9(1):108. doi: 10.1038/s41524-023-01064-x. Epub 2023 Jun 21.
In this work, we systematically evaluate the accuracy in band gap prediction of range-separated hybrid functionals on a large set of semiconducting and insulating materials and carry out comparisons with the performance of their global counterparts. We observe that all the range-separated hybrid functionals that correctly describe the long-range dielectric screening significantly improve upon standard hybrid functionals such as PBE0 and HSE06. The choice of the short-range Fock exchange fraction and the screening length can further reduce the predicted error. We then propose a universal expression for the selection of the inverse screening parameter as a function of the short-range and long-range Fock exchange fractions, which results in a mean absolute error as small as 0.15 eV for band gap prediction.
在这项工作中,我们系统地评估了范围分离杂化泛函在大量半导体和绝缘材料的带隙预测中的准确性,并与它们的全局对应物的性能进行了比较。我们观察到,所有正确描述长程介电屏蔽的范围分离杂化泛函都比标准杂化泛函(如PBE0和HSE06)有显著改进。短程福克交换分数和屏蔽长度的选择可以进一步降低预测误差。然后,我们提出了一个通用表达式,用于根据短程和长程福克交换分数选择逆屏蔽参数,该表达式在带隙预测中产生的平均绝对误差低至0.15 eV。