Literature DB >> 21271625

Uncovering molecular processes in crystal nucleation and growth by using molecular simulation.

Jamshed Anwar1, Dirk Zahn.   

Abstract

Exploring nucleation processes by molecular simulation provides a mechanistic understanding at the atomic level and also enables kinetic and thermodynamic quantities to be estimated. However, whilst the potential for modeling crystal nucleation and growth processes is immense, there are specific technical challenges to modeling. In general, rare events, such as nucleation cannot be simulated using a direct "brute force" molecular dynamics approach. The limited time and length scales that are accessible by conventional molecular dynamics simulations have inspired a number of advances to tackle problems that were considered outside the scope of molecular simulation. While general insights and features could be explored from efficient generic models, new methods paved the way to realistic crystal nucleation scenarios. The association of single ions in solvent environments, the mechanisms of motif formation, ripening reactions, and the self-organization of nanocrystals can now be investigated at the molecular level. The analysis of interactions with growth-controlling additives gives a new understanding of functionalized nanocrystals and the precipitation of composite materials.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Mesh:

Year:  2011        PMID: 21271625     DOI: 10.1002/anie.201000463

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  11 in total

1.  Structure of ice crystallized from supercooled water.

Authors:  Tamsin L Malkin; Benjamin J Murray; Andrey V Brukhno; Jamshed Anwar; Christoph G Salzmann
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-09       Impact factor: 11.205

2.  A test of improved force field parameters for urea: molecular-dynamics simulations of urea crystals.

Authors:  Gül Altınbaş Özpınar; Frank R Beierlein; Wolfgang Peukert; Dirk Zahn; Timothy Clark
Journal:  J Mol Model       Date:  2012-01-27       Impact factor: 1.810

3.  Charge distribution analysis in Ag(n)(m⁺) clusters: molecular modeling and DFT calculations.

Authors:  Theodor Milek; Tibor Döpper; Christian Neiss; Andreas Görling; Dirk Zahn
Journal:  J Mol Model       Date:  2014-02-22       Impact factor: 1.810

4.  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

5.  Molecular-dynamics simulations of urea nucleation from aqueous solution.

Authors:  Matteo Salvalaglio; Claudio Perego; Federico Giberti; Marco Mazzotti; Michele Parrinello
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-09       Impact factor: 11.205

Review 6.  Metadynamics studies of crystal nucleation.

Authors:  Federico Giberti; Matteo Salvalaglio; Michele Parrinello
Journal:  IUCrJ       Date:  2015-02-10       Impact factor: 4.769

7.  Molecular Mechanisms of ZnO Nanoparticle Dispersion in Solution: Modeling of Surfactant Association, Electrostatic Shielding and Counter Ion Dynamics.

Authors:  Patrick Duchstein; Theodor Milek; Dirk Zahn
Journal:  PLoS One       Date:  2015-05-11       Impact factor: 3.240

8.  Chemical Speciation and Bond Lengths of Organic Solutes by Core-Level Spectroscopy: pH and Solvent Influence on p-Aminobenzoic Acid.

Authors:  Joanna S Stevens; Adrian Gainar; Edlira Suljoti; Jie Xiao; Ronny Golnak; Emad F Aziz; Sven L M Schroeder
Journal:  Chemistry       Date:  2015-03-18       Impact factor: 5.236

9.  Kinetic trapping of metastable amino acid polymorphs.

Authors:  Azhad U Chowdhury; Christopher M Dettmar; Shane Z Sullivan; Shijie Zhang; Kevin T Jacobs; David J Kissick; Thora Maltais; Hartmut G Hedderich; Patricia A Bishop; Garth J Simpson
Journal:  J Am Chem Soc       Date:  2014-02-04       Impact factor: 15.419

10.  Predicting finite-temperature properties of crystalline carbon dioxide from first principles with quantitative accuracy.

Authors:  Yonaton N Heit; Kaushik D Nanda; Gregory J O Beran
Journal:  Chem Sci       Date:  2015-09-29       Impact factor: 9.825

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