Literature DB >> 28722686

On the performance of natural orbital functional approximations in the Hubbard model.

I Mitxelena1, M Piris, M Rodríguez-Mayorga.   

Abstract

Strongly correlated materials are now under intense development, and natural orbital functional (NOF) methods seem to be able to capture the physics of these systems. We present a benchmark based on the Hubbard model for a class of commonly used NOF approximations (also known as reduced density matrix functional approximations). Our findings highlight the importance of imposing ensemble N-representability conditions in order to obtain consistent results in systems with either weak or strong electronic correlation, such as the Hubbard system with a varying two-particle interaction parameter. Based on the accuracy of the results obtained using PNOF7, which retrieves a large amount of the total strong nondynamic correlation, the Hubbard model points out that N-representability gives solid foundations for NOF development.

Year:  2017        PMID: 28722686     DOI: 10.1088/1361-648X/aa80ca

Source DB:  PubMed          Journal:  J Phys Condens Matter        ISSN: 0953-8984            Impact factor:   2.333


  1 in total

1.  Artificial neural networks for density-functional optimizations in fermionic systems.

Authors:  Caio A Custódio; Érica R Filletti; Vivian V França
Journal:  Sci Rep       Date:  2019-02-13       Impact factor: 4.379

  1 in total

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