Literature DB >> 26277145

Homogeneous SPC/E water nucleation in large molecular dynamics simulations.

Raymond Angélil1, Jürg Diemand1, Kyoko K Tanaka2, Hidekazu Tanaka2.   

Abstract

We perform direct large molecular dynamics simulations of homogeneous SPC/E water nucleation, using up to ∼ 4 ⋅ 10(6) molecules. Our large system sizes allow us to measure extremely low and accurate nucleation rates, down to ∼ 10(19) cm(-3) s(-1), helping close the gap between experimentally measured rates ∼ 10(17) cm(-3) s(-1). We are also able to precisely measure size distributions, sticking efficiencies, cluster temperatures, and cluster internal densities. We introduce a new functional form to implement the Yasuoka-Matsumoto nucleation rate measurement technique (threshold method). Comparison to nucleation models shows that classical nucleation theory over-estimates nucleation rates by a few orders of magnitude. The semi-phenomenological nucleation model does better, under-predicting rates by at worst a factor of 24. Unlike what has been observed in Lennard-Jones simulations, post-critical clusters have temperatures consistent with the run average temperature. Also, we observe that post-critical clusters have densities very slightly higher, ∼ 5%, than bulk liquid. We re-calibrate a Hale-type J vs. S scaling relation using both experimental and simulation data, finding remarkable consistency in over 30 orders of magnitude in the nucleation rate range and 180 K in the temperature range.

Entities:  

Year:  2015        PMID: 26277145     DOI: 10.1063/1.4928055

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  2 in total

1.  Nucleation parameters of SPC/E and TIP4P/2005 water vapor measured in NPT molecular dynamics simulations.

Authors:  Tomáš Němec
Journal:  J Mol Model       Date:  2022-05-31       Impact factor: 1.810

2.  Pure iron grains are rare in the universe.

Authors:  Yuki Kimura; Kyoko K Tanaka; Takaya Nozawa; Shinsuke Takeuchi; Yuko Inatomi
Journal:  Sci Adv       Date:  2017-01-18       Impact factor: 14.136

  2 in total

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