English

JDFTx: software for joint density-functional theory

Materials Science 2017-11-16 v2 Chemical Physics Computational Physics

Abstract

Density-functional theory (DFT) has revolutionized computational prediction of atomic-scale properties from first principles in physics, chemistry and materials science. Continuing development of new methods is necessary for accurate predictions of new classes of materials and properties, and for connecting to nano- and mesoscale properties using coarse-grained theories. JDFTx is a fully-featured open-source electronic DFT software designed specifically to facilitate rapid development of new theories, models and algorithms. Using an algebraic formulation as an abstraction layer, compact C++11 code automatically performs well on diverse hardware including GPUs. This code hosts the development of joint density-functional theory (JDFT) that combines electronic DFT with classical DFT and continuum models of liquids for first-principles calculations of solvated and electrochemical systems. In addition, the modular nature of the code makes it easy to extend and interface with, facilitating the development of multi-scale toolkits that connect to ab initio calculations, e.g. photo-excited carrier dynamics combining electron and phonon calculations with electromagnetic simulations.

Keywords

Cite

@article{arxiv.1708.03621,
  title  = {JDFTx: software for joint density-functional theory},
  author = {Ravishankar Sundararaman and Kendra Letchworth-Weaver and Kathleen A. Schwarz and Deniz Gunceler and Yalcin Ozhabes and T. A. Arias},
  journal= {arXiv preprint arXiv:1708.03621},
  year   = {2017}
}

Comments

9 pages, 3 figures, 2 code listings

R2 v1 2026-06-22T21:12:44.505Z