Literature DB >> 23181323

Local order parameters for use in driving homogeneous ice nucleation with all-atom models of water.

Aleks Reinhardt1, Jonathan P K Doye, Eva G Noya, Carlos Vega.   

Abstract

We present a local order parameter based on the standard Steinhardt-Ten Wolde approach that is capable both of tracking and of driving homogeneous ice nucleation in simulations of all-atom models of water. We demonstrate that it is capable of forcing the growth of ice nuclei in supercooled liquid water simulated using the TIP4P/2005 model using over-biassed umbrella sampling Monte Carlo simulations. However, even with such an order parameter, the dynamics of ice growth in deeply supercooled liquid water in all-atom models of water are shown to be very slow, and so the computation of free energy landscapes and nucleation rates remains extremely challenging.

Entities:  

Year:  2012        PMID: 23181323     DOI: 10.1063/1.4766362

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


  13 in total

1.  Direct calculation of ice homogeneous nucleation rate for a molecular model of water.

Authors:  Amir Haji-Akbari; Pablo G Debenedetti
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-03       Impact factor: 11.205

2.  Free energy of formation of small ice nuclei near the Widom line in simulations of supercooled water.

Authors:  Connor R C Buhariwalla; Richard K Bowles; Ivan Saika-Voivod; Francesco Sciortino; Peter H Poole
Journal:  Eur Phys J E Soft Matter       Date:  2015-05-21       Impact factor: 1.890

3.  Metastable liquid-liquid transition in a molecular model of water.

Authors:  Jeremy C Palmer; Fausto Martelli; Yang Liu; Roberto Car; Athanassios Z Panagiotopoulos; Pablo G Debenedetti
Journal:  Nature       Date:  2014-06-19       Impact factor: 49.962

4.  New metastable form of ice and its role in the homogeneous crystallization of water.

Authors:  John Russo; Flavio Romano; Hajime Tanaka
Journal:  Nat Mater       Date:  2014-05-18       Impact factor: 43.841

5.  Order-parameter-aided temperature-accelerated sampling for the exploration of crystal polymorphism and solid-liquid phase transitions.

Authors:  Tang-Qing Yu; Pei-Yang Chen; Ming Chen; Amit Samanta; Eric Vanden-Eijnden; Mark Tuckerman
Journal:  J Chem Phys       Date:  2014-06-07       Impact factor: 3.488

6.  Mechanical Unfolding of Spectrin Repeats Induces Water-Molecule Ordering.

Authors:  Sarah J Moe; Alessandro Cembran
Journal:  Biophys J       Date:  2020-01-16       Impact factor: 4.033

7.  Liquid-liquid transition in supercooled water suggested by microsecond simulations.

Authors:  Yaping Li; Jicun Li; Feng Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-08       Impact factor: 11.205

8.  Computational investigation of surface freezing in a molecular model of water.

Authors:  Amir Haji-Akbari; Pablo G Debenedetti
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-14       Impact factor: 11.205

9.  A generalized deep learning approach for local structure identification in molecular simulations.

Authors:  Ryan S DeFever; Colin Targonski; Steven W Hall; Melissa C Smith; Sapna Sarupria
Journal:  Chem Sci       Date:  2019-07-11       Impact factor: 9.825

10.  Machine learning-aided analysis for complex local structure of liquid crystal polymers.

Authors:  Hideo Doi; Kazuaki Z Takahashi; Kenji Tagashira; Jun-Ichi Fukuda; Takeshi Aoyagi
Journal:  Sci Rep       Date:  2019-11-08       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.