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@article{SSVB20,
%%		Pub-num 	   = {206},
%%		Title 		   = {How errors in densities contaminate empirical density functionals},
%%		Author 		   = {Suhwan Song, Eunji Sim, Stefan Vuckovic, Kieron Burke},
%%		Abstract 	   = {Empirical fitting of parameters in approximate density functionals is commonplace. Such database fits conflate errors in the
		self-consistent density with errors in the energy functional, but density-corrected DFT (DC-DFT) separates these two. Three
		examples both show the pitfalls and how they can be avoided: Catastrophic failures in a toy example, $H^+_2$ 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 perform badly on systems with density-driven errors. For binding energies of small water clusters,
		errors are reduced from 8 to less than 1 kcal/mol. In all three cases, more accurate results are found at no additional cost,
		by simply using Hartree-Fock densities instead of self-consistent densities.},
	%%	Doi 		   = {},
	%%	Issn		   = {},
%%		Year 		   = {2020},
%%		Month 		   = {August},
%%		Journal		   = {Submitted},
	%%	Volume 		   = {},
	%%	Issue 		   = {},
	%%	Number 		   = {},
	%%	Pages 		   = {},
	%%	Publisher 	   = {},
	%%	Url 		   = {},
%%		arXiv		   = {arXiv:2008.01261},
	%%	keywords 	   = {}
	%%}
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