Literature DB >> 21627127

Molecular simulation of aqueous electrolyte solubility. 2. Osmotic ensemble Monte Carlo methodology for free energy and solubility calculations and application to NaCl.

Filip Moučka1, Martin Lísal, Jiří Škvor, Jan Jirsák, Ivo Nezbeda, William R Smith.   

Abstract

We present a new and computationally efficient methodology using osmotic ensemble Monte Carlo (OEMC) simulation to calculate chemical potential-concentration curves and the solubility of aqueous electrolytes. The method avoids calculations for the solid phase, incorporating readily available data from thermochemical tables that are based on well-defined reference states. It performs simulations of the aqueous solution at a fixed number of water molecules, pressure, temperature, and specified overall electrolyte chemical potential. Insertion/deletion of ions to/from the system is implemented using fractional ions, which are coupled to the system via a coupling parameter λ that varies between 0 (no interaction between the fractional ions and the other particles in the system) and 1 (full interaction between the fractional ions and the other particles of the system). Transitions between λ-states are accepted with a probability following from the osmotic ensemble partition function. Biasing weights associated with the λ-states are used in order to efficiently realize transitions between them; these are determined by means of the Wang-Landau method. We also propose a novel scaling procedure for λ, which can be used for both nonpolarizable and polarizable models of aqueous electrolyte systems. The approach is readily extended to involve other solvents, multiple electrolytes, and species complexation reactions. The method is illustrated for NaCl, using SPC/E water and several force field models for NaCl from the literature, and the results are compared with experiment at ambient conditions. Good agreement is obtained for the chemical potential-concentration curve and the solubility prediction is reasonable. Future improvements to the predictions will require improved force field models.

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Year:  2011        PMID: 21627127     DOI: 10.1021/jp202054d

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  8 in total

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Journal:  J Chem Phys       Date:  2015-01-28       Impact factor: 3.488

2.  Combining MOSCED with molecular simulation free energy calculations or electronic structure calculations to develop an efficient tool for solvent formulation and selection.

Authors:  Courtney E Cox; Jeremy R Phifer; Larissa Ferreira da Silva; Gabriel Gonçalves Nogueira; Ryan T Ley; Elizabeth J O'Loughlin; Ana Karolyne Pereira Barbosa; Brett T Rygelski; Andrew S Paluch
Journal:  J Comput Aided Mol Des       Date:  2017-01-28       Impact factor: 3.686

3.  Crystal Nucleation in Liquids: Open Questions and Future Challenges in Molecular Dynamics Simulations.

Authors:  Gabriele C Sosso; Ji Chen; Stephen J Cox; Martin Fitzner; Philipp Pedevilla; Andrea Zen; Angelos Michaelides
Journal:  Chem Rev       Date:  2016-05-26       Impact factor: 60.622

4.  Ionic Solution: What Goes Right and Wrong with Continuum Solvation Modeling.

Authors:  Changhao Wang; Pengyu Ren; Ray Luo
Journal:  J Phys Chem B       Date:  2017-12-01       Impact factor: 2.991

5.  Biomolecular Simulations under Realistic Macroscopic Salt Conditions.

Authors:  Gregory A Ross; Ariën S Rustenburg; Patrick B Grinaway; Josh Fass; John D Chodera
Journal:  J Phys Chem B       Date:  2018-05-31       Impact factor: 2.991

6.  Replica-Exchange and Standard State Binding Free Energies with Grand Canonical Monte Carlo.

Authors:  Gregory A Ross; Hannah E Bruce Macdonald; Christopher Cave-Ayland; Ana I Cabedo Martinez; Jonathan W Essex
Journal:  J Chem Theory Comput       Date:  2017-11-28       Impact factor: 6.006

7.  A Simple Method for Including Polarization Effects in Solvation Free Energy Calculations When Using Fixed-Charge Force Fields: Alchemically Polarized Charges.

Authors:  Braden D Kelly; William R Smith
Journal:  ACS Omega       Date:  2020-07-07

8.  Moderate and strong static magnetic fields directly affect EGFR kinase domain orientation to inhibit cancer cell proliferation.

Authors:  Lei Zhang; Jihao Wang; HongLei Wang; Wenchao Wang; Zhiyuan Li; Juanjuan Liu; Xingxing Yang; Xinmiao Ji; Yan Luo; Chen Hu; Yubin Hou; Qianqian He; Jun Fang; Junfeng Wang; Qingsong Liu; Guohui Li; Qingyou Lu; Xin Zhang
Journal:  Oncotarget       Date:  2016-07-05
  8 in total

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