2012
DOI: 10.1063/1.4749929
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Analysis of the basis set superposition error in molecular dynamics of hydrogen-bonded liquids: Application to methanol

Abstract: An efficient protocol is presented to compensate for the basis set superposition error (BSSE) in DFT molecular dynamics (MD) simulations using localized Gaussian basis sets. We propose a classical correction term that can be added a posteriori to account for BSSE. It is tested to what extension this term will improve radial distribution functions (RDFs). The proposed term is pairwise between certain atoms in different molecules and was calibrated by fitting reference BSSE data points computed with the counterp… Show more

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Cited by 4 publications
(15 citation statements)
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“…27). The core electrons were represented by norm-conserving Goedecker–Teter–Hutter pseudo-potentials282930 and the valence electron wave function was expanded in a double-zeta basis set with polarization functions31 along with an auxiliary plane wave basis set with an energy cutoff of 360 eV. In all calculations we used the generalized gradient approximation exchange-correlation functional of Perdew, Burke and Enzerhof32.…”
Section: Methodsmentioning
confidence: 99%
“…27). The core electrons were represented by norm-conserving Goedecker–Teter–Hutter pseudo-potentials282930 and the valence electron wave function was expanded in a double-zeta basis set with polarization functions31 along with an auxiliary plane wave basis set with an energy cutoff of 360 eV. In all calculations we used the generalized gradient approximation exchange-correlation functional of Perdew, Burke and Enzerhof32.…”
Section: Methodsmentioning
confidence: 99%
“…The same computational settings are used as in ref apart from some convergence criteria. All simulations are performed with the CP2K code .…”
Section: Computational Sectionmentioning
confidence: 99%
“…Molecular dynamics (MD) simulations offer the appropriate theoretical tools to compute RDFs directly (Figure ). They can be performed with force fields ,,,, or based on density functional theory. ,, MD modeling has proven to be very effective in guiding assignments of peaks in these empirical RDFs. In this work we will compute theoretical (partial) RDFs and their counterparts, the (partial) SFs, which are connected by a Fourier transform.…”
Section: Introductionmentioning
confidence: 99%
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