Abstract
DFTB+ is a flexible, open-source software package developed by its community, designed for fast and efficient atomistic quantum mechanical simulations. It employs various methods that approximate density functional theory (DFT), such as density functional-based tight binding (DFTB) and the extended tight binding (xTB) approach allowing simulations of large systems over extended time scales with reasonable accuracy, while being significantly faster than traditional ab initio methods. In recent years, several new extensions of the DFTB method have been developed and implemented in the DFTB+ program package in order to improve the accuracy and generality of the available simulation results. In this paper, we review those enhancements, show several use case examples and discuss the strengths and limitations of its features.
| Original language | English |
|---|---|
| Pages (from-to) | 5373-5390 |
| Number of pages | 18 |
| Journal | Journal of Physical Chemistry A |
| Volume | 129 |
| Issue number | 24 |
| DOIs | |
| State | Published - Jun 19 2025 |
Funding
Caterina Cevallos, Eric Merlin Elvers and Miguel Steiner are acknowledged for minor code contributions. T. v. d. Heide acknowledges financial support from the German Research Foundation (DFG) through Grant No. FR2833/76-1. C. R. Lien-Medrano acknowledges financial support from the German Research Foundation (DFG) through Grant No. FR2833/82-1. M. A. Sentef was funded by the European Union (ERC, CAVMAT, project no. 101124492). M. Berdakin acknowledges financial support from Consejo Nacional de Investigaciones Científcas y Técnicas (CONICET, PIBA 2872021010 0973CO), and Secretaría de Ciencia y Tecnología (SECyT-UNC) through Grant No. SECyT-33820230100101CB. Q. Cui acknowledges grant R35-GM141930 from the National Institutes of Health. T. Kowalczyk acknowledges support from NSF grant CHE-1664674 and from the Camille and Henry Dreyfus Foundation through a Henry Dreyfus Teacher-Scholar Award (Grant No. TH-23-014). A. M. N. Niklasson acknowledges support by the U.S. Department of Energy Office of Basic Energy Sciences (FWP LANLE8AN) and by the Los Alamos National Laboratory operated by Triad National Security, LLC, for the National Nuclear Security Administration of the U.S. Department of Energy Contract No. 892333218NCA000001. T. A. Niehaus thanks GENCI for computational resources under projects DARI A0150810637 and A0130810637. N. Goldman acknowledges that this work was partially performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. P. V. Stishenko acknowledges funding by the UKRI Future Leaders Fellowship program (MR/T018372/1).