<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>Numerical methods for Kohn–Sham density functional theory</dc:title><dc:creator>Lin, Lin; Lu, Jianfeng; Ying, Lexing</dc:creator><dc:corporate_author/><dc:editor/><dc:description>Kohn–Sham density functional theory (DFT) is the most widely used electronic structure theory. Despite significant progress in the past few decades, the numerical solution of Kohn–Sham DFT problems remains challenging, especially for large-scale systems. In this paper we review the basics as well as state-of-the-art numerical methods, and focus on the unique numerical challenges of DFT.</dc:description><dc:publisher/><dc:date>2019-05-01</dc:date><dc:nsf_par_id>10146743</dc:nsf_par_id><dc:journal_name>Acta Numerica</dc:journal_name><dc:journal_volume>28</dc:journal_volume><dc:journal_issue/><dc:page_range_or_elocation>405 to 539</dc:page_range_or_elocation><dc:issn>0962-4929</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1017/S0962492919000047</dc:doi><dcq:identifierAwardId>1652330</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>