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Original Articles

Automated development of force fields for the calculation of thermodynamic properties: acetonitrile as a case study

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Pages 109-118 | Received 18 Feb 2012, Accepted 19 Jun 2012, Published online: 17 Aug 2012

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Simon Stephan, Martin T. Horsch, Jadran Vrabec & Hans Hasse. (2019) MolMod – an open access database of force fields for molecular simulations of fluids. Molecular Simulation 45:10, pages 806-814.
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Stephan Werth, Martin Horsch & Hans Hasse. (2015) Long-range correction for dipolar fluids at planar interfaces. Molecular Physics 113:23, pages 3750-3756.
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Articles from other publishers (15)

Samuel R. Cohen, Marie Plazanet, Stéphane Rols, David J. Voneshen, John T. Fourkas & Benoit Coasne. (2022) Structure and dynamics of acetonitrile: Molecular simulation and neutron scattering. Journal of Molecular Liquids 348, pages 118423.
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Amine Erradi, Samira Touhtouh, Abdessamad El Ballouti & Abdelowahed Hajjaji. (2021) Study of the ageing mechanisms of activated carbon supercapacitors by electrothermal simulation and experimental analysis. Carbon Letters 31:6, pages 1179-1189.
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Aditya Kulkarni, Michael Bortz, Karl-Heinz Küfer, Maximilian Kohns & Hans Hasse. (2020) Multicriteria Optimization of Molecular Models of Water Using a Reduced Units Approach. Journal of Chemical Theory and Computation 16:8, pages 5127-5138.
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Ubaya A. Higgoda, Chathura J. Kankanamge, Robert Hellmann, Thomas M. Koller & Andreas P. Fröba. (2019) Fick diffusion coefficients of binary fluid mixtures consisting of methane, carbon dioxide, and propane via molecular dynamics simulations based on simplified pair-specific ab initio-derived force fields. Fluid Phase Equilibria 502, pages 112257.
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Stephan Werth, Simon Stephan, Martin Thomas Horsch & Hans Hasse. (2019) Corrigendum to “Molecular simulation of the surface tension of 33 multi-site models for real fluids” [J. Mol. Liq. 235 (2017) 126–134]. Journal of Molecular Liquids 286, pages 110877.
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Camila Zanette, Caitlin C. Bannan, Christopher I. Bayly, Josh Fass, Michael K. Gilson, Michael R. Shirts, John D. Chodera & David L. Mobley. (2018) Toward Learned Chemical Perception of Force Field Typing Rules. Journal of Chemical Theory and Computation 15:1, pages 402-423.
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Y. Mauricio Muñoz-Muñoz, Gabriela Guevara-Carrion & Jadran Vrabec. (2018) Molecular Insight into the Liquid Propan-2-ol + Water Mixture. The Journal of Physical Chemistry B 122:37, pages 8718-8729.
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Mohammad H. Kowsari & Leila Tohidifar. (2018) Systematic evaluation and refinement of existing all‐atom force fields for the simulation of liquid acetonitrile. Journal of Computational Chemistry 39:23, pages 1843-1853.
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Stephan Werth, Martin Horsch & Hans Hasse. (2017) Molecular simulation of the surface tension of 33 multi-site models for real fluids. Journal of Molecular Liquids 235, pages 126-134.
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Volodymyr A. Koverga, Oleksandr M. Korsun, Oleg N. Kalugin, Bogdan A. Marekha & Abdenacer Idrissi. (2017) A new potential model for acetonitrile: Insight into the local structure organization. Journal of Molecular Liquids 233, pages 251-261.
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Stephan Werth, Katrin Stöbener, Peter Klein, Karl-Heinz Küfer, Martin Horsch & Hans Hasse. (2015) Molecular modelling and simulation of the surface tension of real quadrupolar fluids. Chemical Engineering Science 121, pages 110-117.
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Andreas Krämer, Marco Hülsmann, Thorsten Köddermann & Dirk Reith. (2014) Automated parameterization of intermolecular pair potentials using global optimization techniques. Computer Physics Communications 185:12, pages 3228-3239.
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K. Stöbener, P. Klein, S. Reiser, M. Horsch, K.-H. Küfer & H. Hasse. (2014) Multicriteria optimization of molecular force fields by Pareto approach. Fluid Phase Equilibria 373, pages 100-108.
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Svetlana Miroshnichenko, Thomas Grützner, Daniel Staak & Jadran Vrabec. (2013) Molecular simulation of the vapor–liquid phase behavior of cyanides and their binary mixtures. Fluid Phase Equilibria 354, pages 286-297.
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Stefan Eckelsbach, Svetlana Miroshnichenko, Gabor Rutkai & Jadran Vrabec. 2013. High Performance Computing in Science and Engineering ‘13. High Performance Computing in Science and Engineering ‘13 635 646 .

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