Literature DB >> 33411542

Density Sensitivity of Empirical Functionals.

Suhwan Song1, Stefan Vuckovic2, Eunji Sim1, Kieron Burke2.   

Abstract

Empirical fitting of parameters in approximate density functionals is common. Such fits conflate errors in the self-consistent density with errors in the energy functional, but density-corrected DFT (DC-DFT) separates these two. We illustrate with catastrophic failures of a toy functional applied to H2+ at varying bond lengths, where the standard fitting procedure misses the exact functional; Grimme's D3 fit to noncovalent interactions, which can be contaminated by large density errors such as in the WATER27 and B30 data sets; and double-hybrids trained on self-consistent densities, which can perform poorly on systems with density-driven errors. In these cases, more accurate results are found at no additional cost by using Hartree-Fock (HF) densities instead of self-consistent densities. For binding energies of small water clusters, errors are greatly reduced. Range-separated hybrids with 100% HF at large distances suffer much less from this effect.

Entities:  

Year:  2021        PMID: 33411542     DOI: 10.1021/acs.jpclett.0c03545

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  2 in total

1.  Pure and Hybrid SCAN, rSCAN, and r2SCAN: Which One Is Preferred in KS- and HF-DFT Calculations, and How Does D4 Dispersion Correction Affect This Ranking?

Authors:  Golokesh Santra; Jan M L Martin
Journal:  Molecules       Date:  2021-12-27       Impact factor: 4.411

2.  Optimal Tuning Perspective of Range-Separated Double Hybrid Functionals.

Authors:  Georgia Prokopiou; Michal Hartstein; Niranjan Govind; Leeor Kronik
Journal:  J Chem Theory Comput       Date:  2022-04-02       Impact factor: 6.006

  2 in total

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