2013
DOI: 10.1088/0965-0393/21/7/074005
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The importance of nonlinear fluid response in joint density-functional theory studies of battery systems

Abstract: Delivering the full benefits of first principles calculations to battery materials demands the development of accurate and computationally-efficient electronic structure methods that incorporate the effects of the electrolyte environment and electrode potential.Realistic electrochemical interfaces containing polar surfaces are beyond the regime of validity of existing continuum solvation theories developed for molecules, due to the presence of significantly stronger electric fields. We present an ab initio the… Show more

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Cited by 208 publications
(328 citation statements)
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References 48 publications
(128 reference statements)
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“…We computed the grand free energy at the constant electrochemical potential along with the implicit solvation model, in which the charged surfaces can be effectively screened by the ionic response in solution as implemented in JDFTx 8,21,22 . Computational details of JDFTx can be found in SI.…”
Section: Methodsmentioning
confidence: 99%
“…We computed the grand free energy at the constant electrochemical potential along with the implicit solvation model, in which the charged surfaces can be effectively screened by the ionic response in solution as implemented in JDFTx 8,21,22 . Computational details of JDFTx can be found in SI.…”
Section: Methodsmentioning
confidence: 99%
“…The RMS errors of SaLSA are only slightly higher than those of the local solvation model from [15] that includes additional fit parameters for the electric response. Figure 3 compares the aqueous solvation energy predictions of SaLSA with those of the linear and nonlinear localresponse models from [14]. All three models perform comparably for the neutral molecule set (Figure 3(a)) used for the parameter fit, but SaLSA is substantially more accurate for inorganic ions (Figure 3(b)).…”
mentioning
confidence: 99%
“…Unfortunately, the large number of parameters precludes the extrapolation of these models to systems outside their fit set, such as metallic or ionic surfaces in solution. Recent solvation models that employ an electron-density based parametrization [11,12] require only two or three parameters and extrapolate more reliably, but still encounter difficulties for charged and highly polar systems [13,14].The need for empirical parameters in continuum solvation arises primarily because of the drastic simplification of the nonlocal and nonlinear response of the real liquid with that of a continuum dielectric cavity. Recently, we correlated the dielectric cavity sizes for different solvents with the extent of nonlocality of the solvent response to enable a unified electron-density parametrization for multiple solvents [15], but the electron density threshold n c that determines the cavity size still required a fit to solvation energies of organic molecules.…”
mentioning
confidence: 99%
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